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Journal articles on the topic 'Sketch-based 3D Model'

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Published: 4 June 2025

Last updated: 15 July 2025

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Lei, Haopeng, Guoliang Luo, Yuhua Li, Jianming Liu, and Jihua Ye. "Sketch-Based 3D Model Retrieval Using Attributes." International Journal of Grid and High Performance Computing 10, no. 3 (2018): 60–75. http://dx.doi.org/10.4018/ijghpc.2018070105.

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With the rapid growth of available 3D models on the Internet, how to retrieve 3D models based on hand-drawn sketch retrieval are becoming increasingly important. This article proposes a new sketch-based 3D model retrieval approach. This approach is different from current methods that make use of low-level visual features to capture the search intention of users. The proposed method uses two kinds of semantic attributes, including pre-defined attributes and latent attributes. Specifically, pre-defined attributes are defined manually which can provide prior knowledge about different sketch categories and latent-attributes are more discriminative which can differentiate sketch categories at a finer level. Therefore, these semantic attributes can provide a more descriptive and discriminative meaningful representation than low-level feature descriptors. The experiment results demonstrate that this proposed method can achieve superior performance over previously proposed sketch-based 3D model retrieval methods.

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Li, Bo, and Henry Johan. "Sketch-based 3D model retrieval by incorporating 2D-3D alignment." Multimedia Tools and Applications 65, no. 3 (2012): 363–85. http://dx.doi.org/10.1007/s11042-012-1009-0.

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Zhou, Ruomei Wang and Fan. "A Sketch-based 3D Garment Model Retrieval Algorithm." Journal of Fiber Bioengineering and Informatics 6, no. 2 (2013): 217–24. http://dx.doi.org/10.3993/jfbi06201310.

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Bai, Jing, Mengjie Wang, and Dexin Kong. "Deep Common Semantic Space Embedding for Sketch-Based 3D Model Retrieval." Entropy 21, no. 4 (2019): 369. http://dx.doi.org/10.3390/e21040369.

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Sketch-based 3D model retrieval has become an important research topic in many applications, such as computer graphics and computer-aided design. Although sketches and 3D models have huge interdomain visual perception discrepancies, and sketches of the same object have remarkable intradomain visual perception diversity, the 3D models and sketches of the same class share common semantic content. Motivated by these findings, we propose a novel approach for sketch-based 3D model retrieval by constructing a deep common semantic space embedding using triplet network. First, a common data space is constructed by representing every 3D model as a group of views. Second, a common modality space is generated by translating views to sketches according to cross entropy evaluation. Third, a common semantic space embedding for two domains is learned based on a triplet network. Finally, based on the learned features of sketches and 3D models, four kinds of distance metrics between sketches and 3D models are designed, and sketch-based 3D model retrieval results are achieved. The experimental results using the Shape Retrieval Contest (SHREC) 2013 and SHREC 2014 datasets reveal the superiority of our proposed method over state-of-the-art methods.

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Jing, Zhang, sheng Kang Bao, Jiang Bo, and Zhang Di. "A novel sketch-based 3D model retrieval approach based on skeleton." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 1–12. https://doi.org/10.11591/ijict.v8i1.pp1-12.

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Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm which adopts the radii of the disks at skeleton points and the lengths of skeleton branches to extract the histogram feature, and compare the similarity between two skeletons using the histogram feature matrix of skeleton endpoints. Experiment results demonstrate that our approach which combines these two algorithms significantly outperforms several leading sketch-based retrieval approaches.

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Zhang, Jing, Bao Sheng Kang, Bo Jiang, and Di Zhang. "A novel sketch-based 3D model retrieval approach based on skeleton." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 1. http://dx.doi.org/10.11591/ijict.v8i1.pp1-12.

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Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm which adopts the radii of the disks at skeleton points and the lengths of skeleton branches to extract the histogram feature, and compare the similarity between two skeletons using the histogram feature matrix of skeleton endpoints. Experiment results demonstrate that our approach which combines these two algorithms significantly outperforms several leading sketch-based retrieval approaches.

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Wang, Fei, Yu Yang, Baoquan Zhao, Dazhi Jiang, Siwei Chen, and Jianqiang Sheng. "Reconstructing 3D Model from Single-View Sketch with Deep Neural Network." Wireless Communications and Mobile Computing 2021 (April 19, 2021): 1–9. http://dx.doi.org/10.1155/2021/5577530.

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In this paper, we introduce a novel 3D shape reconstruction method from a single-view sketch image based on a deep neural network. The proposed pipeline is mainly composed of three modules. The first module is sketch component segmentation based on multimodal DNN fusion and is used to segment a given sketch into a series of basic units and build a transformation template by the knots between them. The second module is a nonlinear transformation network for multifarious sketch generation with the obtained transformation template. It creates the transformation representation of a sketch by extracting the shape features of an input sketch and transformation template samples. The third module is deep 3D shape reconstruction using multifarious sketches, which takes the obtained sketches as input to reconstruct 3D shapes with a generative model. It fuses and optimizes features of multiple views and thus is more likely to generate high-quality 3D shapes. To evaluate the effectiveness of the proposed method, we conduct extensive experiments on a public 3D reconstruction dataset. The results demonstrate that our model can achieve better reconstruction performance than peer methods. Specifically, compared to the state-of-the-art method, the proposed model achieves a performance gain in terms of the five evaluation metrics by an average of 25.5% on the man-made model dataset and 23.4% on the character object dataset using synthetic sketches and by an average of 31.8% and 29.5% on the two datasets, respectively, using human drawing sketches.

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Cao, Bin, Yang Kang, Shujin Lin, Xiaonan Luo, Songhua Xu, and Zhihan Lv. "Style-sensitive 3D model retrieval through sketch-based queries." Journal of Intelligent & Fuzzy Systems 31, no. 5 (2016): 2637–44. http://dx.doi.org/10.3233/jifs-169104.

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Yoon, S. M., and A. Kuijper. "Sketch-based 3D model retrieval using compressive sensing classification." Electronics Letters 47, no. 21 (2011): 1181. http://dx.doi.org/10.1049/el.2011.2158.

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Liu, Feng-Lin, Hongbo Fu, Yu-Kun Lai, and Lin Gao. "SketchDream: Sketch-based Text-To-3D Generation and Editing." ACM Transactions on Graphics 43, no. 4 (2024): 1–13. http://dx.doi.org/10.1145/3658120.

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Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing texture-less mesh models within predefined categories. Integrating sketch and text simultaneously for 3D generation promises enhanced control over geometry and appearance but faces challenges from 2D-to-3D translation ambiguity and multi-modal condition integration. Moreover, further editing of 3D models in arbitrary views will give users more freedom to customize their models. However, it is difficult to achieve high generation quality, preserve unedited regions, and manage proper interactions between shape components. To solve the above issues, we propose a text-driven 3D content generation and editing method, SketchDream, which supports NeRF generation from given hand-drawn sketches and achieves free-view sketch-based local editing. To tackle the 2D-to-3D ambiguity challenge, we introduce a sketch-based multi-view image generation diffusion model, which leverages depth guidance to establish spatial correspondence. A 3D ControlNet with a 3D attention module is utilized to control multi-view images and ensure their 3D consistency. To support local editing, we further propose a coarse-to-fine editing approach: the coarse phase analyzes component interactions and provides 3D masks to label edited regions, while the fine stage generates realistic results with refined details by local enhancement. Extensive experiments validate that our method generates higher-quality results compared with a combination of 2D ControlNet and image-to-3D generation techniques and achieves detailed control compared with existing diffusion-based 3D editing approaches.

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Shao, Tianjia, Weiwei Xu, Kangkang Yin, Jingdong Wang, Kun Zhou, and Baining Guo. "Discriminative Sketch-based 3D Model Retrieval via Robust Shape Matching." Computer Graphics Forum 30, no. 7 (2011): 2011–20. http://dx.doi.org/10.1111/j.1467-8659.2011.02050.x.

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Kanai, Satoshi. "Content-based 3D mesh model retrieval from hand-written sketch." International Journal on Interactive Design and Manufacturing (IJIDeM) 2, no. 2 (2008): 87–98. http://dx.doi.org/10.1007/s12008-008-0038-4.

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Li, Chunxiao, Hyowon Lee, Dongliang Zhang, and Hao Jiang. "Sketch-based 3D modeling by aligning outlines of an image." Journal of Computational Design and Engineering 3, no. 3 (2016): 286–94. http://dx.doi.org/10.1016/j.jcde.2016.04.003.

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Abstract In this paper we present an efficient technique for sketch-based 3D modeling using automatically extracted image features. Creating a 3D model often requires a drawing of irregular shapes composed of curved lines as a starting point but it is difficult to hand-draw such lines without introducing awkward bumps and edges along the lines. We propose an automatic alignment of a user's hand-drawn sketch lines to the contour lines of an image, facilitating a considerable level of ease with which the user can carelessly continue sketching while the system intelligently snaps the sketch lines to a background image contour, no longer requiring the strenuous effort and stress of trying to make a perfect line during the modeling task. This interactive technique seamlessly combines the efficiency and perception of the human user with the accuracy of computational power, applied to the domain of 3D modeling where the utmost precision of on-screen drawing has been one of the hurdles of the task hitherto considered a job requiring a highly skilled and careful manipulation by the user. We provide several examples to demonstrate the accuracy and efficiency of the method with which complex shapes were achieved easily and quickly in the interactive outline drawing task. Highlights We present an efficient technique for sketch-based 3D modeling using automatically extracted image features. An automatic and real-time method is proposed to align a user's hand-drawn sketch line to the contour lines of an image, facilitating a considerable level of ease for 3D modeling. We use a geometric method to align a sketch line to the outlines of an image using the features of the sketch line and contour lines of an image, and some operations are proposed to refine the result of alignment. In the sketch-based 3D modeling method, the sketch line is represented by a editable spline, therefore, the aligned sketch line can be further adjusted interactively.

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Gao, Xue-Yao, Wen-Hui Jia, and Chun-Xiang Zhang. "3D model retrieval based on interactive attention CNN and multiple features." PeerJ Computer Science 9 (February 10, 2023): e1227. http://dx.doi.org/10.7717/peerj-cs.1227.

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3D (three-dimensional) models are widely applied in our daily life, such as mechanical manufacture, games, biochemistry, art, virtual reality, and etc. With the exponential growth of 3D models on web and in model library, there is an increasing need to retrieve the desired model accurately according to freehand sketch. Researchers are focusing on applying machine learning technology to 3D model retrieval. In this article, we combine semantic feature, shape distribution features and gist feature to retrieve 3D model based on interactive attention convolutional neural networks (CNN). The purpose is to improve the accuracy of 3D model retrieval. Firstly, 2D (two-dimensional) views are extracted from 3D model at six different angles and converted into line drawings. Secondly, interactive attention module is embedded into CNN to extract semantic features, which adds data interaction between two CNN layers. Interactive attention CNN extracts effective features from 2D views. Gist algorithm and 2D shape distribution (SD) algorithm are used to extract global features. Thirdly, Euclidean distance is adopted to calculate the similarity of semantic feature, the similarity of gist feature and the similarity of shape distribution feature between sketch and 2D view. Then, the weighted sum of three similarities is used to compute the similarity between sketch and 2D view for retrieving 3D model. It solves the problem that low accuracy of 3D model retrieval is caused by the poor extraction of semantic features. Nearest neighbor (NN), first tier (FT), second tier (ST), F-measure (E(F)), and discounted cumulated gain (DCG) are used to evaluate the performance of 3D model retrieval. Experiments are conducted on ModelNet40 and results show that the proposed method is better than others. The proposed method is feasible in 3D model retrieval.

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Zhu, Guang Yu, Jin Wang, and Guo Dong Lu. "Multi-Level Recommendation for Sketch Based 3D Toy Modeling." Advanced Materials Research 472-475 (February 2012): 145–50. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.145.

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Models recommendation is always a key part in part-composition system based on sketch. In this paper, proper models are suggested via three steps. Firstly, the possible type of model parts is suggested according to the topological features. Then toy parts that have similar profile types with the inputted sketches are clustered and recommended by lineage clustering method. Finally, based on the promoted $1 recognizer, the suggested parts are sorted according to the shape similarity with the inputted sketch. Experimental results show that the models can be recommended quickly and properly via our method.

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Gherghina, George, Dragos Tutunea, Alexandru Dima, and Dragos Laurentiu Popa. "3D Model Based Process in Automotive Industry." Applied Mechanics and Materials 880 (March 2018): 151–56. http://dx.doi.org/10.4028/www.scientific.net/amm.880.151.

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The three dimensional design of modern auto vehicle through advanced virtual engineering methods is used from early development processes. From over 10 years automotive manufacturers’ have used 3D-CAD software packages following conventional development strategies of the product. These tools offer the possibility to design components through digital mock-up processes reducing time and errors in production. In this paper we evaluate the evolution of 3D-CAD based development processes based on geometry generation, conceptual design and simulations tools. The DMU method allows importing the 2D sketch in 3D software then creates a virtual model which can be optimized and analyzed.

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RAMOS, SAULO, CHARLES MORPHY D. SANTOS, MARIO COSTA SOUSA, and JOÃO PAULO GOIS. "A sketch-based system for modeling 3D objects: Applications to taxonomy." Zootaxa 5039, no. 4 (2021): 537–50. http://dx.doi.org/10.11646/zootaxa.5039.4.5.

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We present a sketch-based system for modeling 3D objects with multiple contours as overlaid structures, allowing users to infer perceivable symmetries and occluded parts of the model prior to its automatic 3D reconstruction. Many approaches for sketch-based interfaces and modeling focus on the final drawing and 3D reconstruction of solid objects, exploring, as inputs, contours; however, when the subject consists of multiple drawings as overlaid structures, as usual in species descriptions, these approaches have to roughly infer or discard occluded parts. Unlike previous sketch-based techniques, we explore a set of 2D visual effects to enhance the visual perception of users while sketching multiple overlaid objects in single-view. The proposed system was applied to general simple zoological and botanical sketches as well as to published descriptions of species of Diptera, demonstrating its usefulness for taxonomy.

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Jacquemyn, Carl, Margaret E. H. Pataki, Gary J. Hampson, et al. "Sketch-based interface and modelling of stratigraphy and structure in three dimensions." Journal of the Geological Society 178, no. 4 (2021): jgs2020–187. http://dx.doi.org/10.1144/jgs2020-187.

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Geological modelling is widely used to predict resource potential in subsurface reservoirs. However, modelling is often slow, requires use of mathematical methods that are unfamiliar to many geoscientists, and is implemented in expert software. We demonstrate here an alternative approach using sketch-based interface and modelling, which allows rapid creation of complex three-dimensional (3D) models from 2D sketches. Sketches, either on vertical cross-sections or in map-view, are converted to 3D surfaces that outline geological interpretations. We propose a suite of geological operators that handle interactions between the surfaces to form a geologically realistic 3D model. These operators deliver the flexibility to sketch a geological model in any order and provide an intuitive framework for geoscientists to rapidly create 3D models. Two case studies are presented, demonstrating scenarios in which different approaches to model sketching are used depending on the geological setting and available data. These case studies show the strengths of sketching with geological operators. Sketched 3D models can be queried visually or quantitatively to provide insights into heterogeneity distribution, facies connectivity or dynamic model behaviour; this information cannot be obtained by sketching in 2D or on paper.Supplementary material: Rapid Reservoir Modelling prototype (executable and source code) is available at: https://bitbucket.org/rapidreservoirmodelling/rrm. Supplementary screen recordings for the different case studies showing sketch-based modelling in action are available at https://doi.org/10.6084/m9.figshare.c.5084141 and supplementary figure S1-S4 are available at https://doi.org/10.6084/m9.figshare.c.5303043

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Qin, Feiwei, Shi Qiu, Shuming Gao, and Jing Bai. "3D CAD model retrieval based on sketch and unsupervised variational autoencoder." Advanced Engineering Informatics 51 (January 2022): 101427. http://dx.doi.org/10.1016/j.aei.2021.101427.

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Zhang, Jing, Bao Sheng Kang, Bo Jiang, and Di Zhang. "A Novel Skeleton Algorithm for Sketch-Based Medical 3D Model Retrieval." Journal of Medical Imaging and Health Informatics 7, no. 7 (2017): 1483–92. http://dx.doi.org/10.1166/jmihi.2017.2197.

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Pu, Jiantao, Kuiyang Lou, and Karthik Ramani. "A 2D Sketch-Based User Interface for 3D CAD Model Retrieval." Computer-Aided Design and Applications 2, no. 6 (2005): 717–25. http://dx.doi.org/10.1080/16864360.2005.10738335.

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Jiang, JuanFen, Yueqi Zhong, and ShanYuan Wang. "Sketch-based wrinkle generation for three-dimensional virtual garment prototyping." Textile Research Journal 81, no. 18 (2011): 1893–902. http://dx.doi.org/10.1177/0040517511411971.

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Wrinkles and folds are the most important properties determining the style of garment. In this paper, we propose a sketch-based method to generate arbitrary wrinkle shapes for three-dimensional (3D) garment prototyping. The user is required to draw wrinkle strokes on the original garment model in the front view and the back view. These two-dimensional strokes are then transferred into 3D shapes in terms of mesh deformations including Loop subdivision, Laplacian mesh optimization, and mean-value encoding/decoding. Various examples have validated the effectiveness of our proposed method, which can be regarded as a novel approach in 3D garment prototyping.

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Park, Jisoon, Taewon Kim, Seung-Yeob Baek, and Kunwoo Lee. "An algorithm for estimating surface normal from its boundary curves." Journal of Computational Design and Engineering 2, no. 1 (2014): 67–72. http://dx.doi.org/10.1016/j.jcde.2014.11.007.

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Abstract Recently, along with the improvements of geometry modeling methods using sketch-based interface, there have been a lot of developments in research about generating surface model from 3D curves. However, surfacing a 3D curve network remains an ambiguous problem due to the lack of geometric information. In this paper, we propose a new algorithm for estimating the normal vectors of the 3D curves which accord closely with user intent. Bending energy is defined by utilizing RMF(Rotation-Minimizing Frame) of 3D curve, and we estimated this minimal energy frame as the one that accords design intent. The proposed algorithm is demonstrated with surface model creation of various curve networks. The algorithm of estimating geometric information in 3D curves which is proposed in this paper can be utilized to extract new information in the sketch-based modeling process. Also, a new framework of 3D modeling can be expected through the fusion between curve network and surface creating algorithm.

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Motta, Suellen, Anselmo Montenegro, Marcelo Gattass, and Deane Roehl. "A 3D sketch-based formulation to model salt bodies from seismic data." Computers & Geosciences 142 (September 2020): 104457. http://dx.doi.org/10.1016/j.cageo.2020.104457.

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Li, Bo, Yijuan Lu, Henry Johan, and Ribel Fares. "Sketch-based 3D model retrieval utilizing adaptive view clustering and semantic information." Multimedia Tools and Applications 76, no. 24 (2016): 26603–31. http://dx.doi.org/10.1007/s11042-016-4187-3.

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Li, Yuhua, Haopeng Lei, Shujin Lin, and Guoliang Luo. "A new sketch-based 3D model retrieval method by using composite features." Multimedia Tools and Applications 77, no. 2 (2017): 2921–44. http://dx.doi.org/10.1007/s11042-017-4446-y.

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Zheng, Xin-Yang, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, and Heung-Yeung Shum. "Locally Attentional SDF Diffusion for Controllable 3D Shape Generation." ACM Transactions on Graphics 42, no. 4 (2023): 1–13. http://dx.doi.org/10.1145/3592103.

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Although the recent rapid evolution of 3D generative neural networks greatly improves 3D shape generation, it is still not convenient for ordinary users to create 3D shapes and control the local geometry of generated shapes. To address these challenges, we propose a diffusion-based 3D generation framework --- locally attentional SDF diffusion , to model plausible 3D shapes, via 2D sketch image input. Our method is built on a two-stage diffusion model. The first stage, named occupancy-diffusion , aims to generate a low-resolution occupancy field to approximate the shape shell. The second stage, named SDF-diffusion , synthesizes a high-resolution signed distance field within the occupied voxels determined by the first stage to extract fine geometry. Our model is empowered by a novel view-aware local attention mechanism for image-conditioned shape generation, which takes advantage of 2D image patch features to guide 3D voxel feature learning, greatly improving local controllability and model generalizability. Through extensive experiments in sketch-conditioned and category-conditioned 3D shape generation tasks, we validate and demonstrate the ability of our method to provide plausible and diverse 3D shapes, as well as its superior controllability and generalizability over existing work.

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N, Pavithra, and H. Sharath Kumar Y. "A Computational Meta-Learning Inspired Model for Sketch-based Video Retrieval." Indian Journal of Science and Technology 16, no. 7 (2023): 476–84. https://doi.org/10.17485/IJST/v16i7.2121.

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ABSTRACT Objectives: To design and develop an efficient computing framework for sketch-based video retrieval using fine-grained intrinsic computational approach. Methods: The primary method of sketch-based video retrieval adopts multi-stream multi-modality of joint embedding method for improved P-SBVR from improved fine-grained KTH and TSF related dataset. It considers the potential aspects of the computation of significant visual intrinsic appearance details for sketch objects. The extracted appearance and motion-based features are used to train three different CNN baselines under strong and weak supervision. The system also implements a meta-learning model for different supervised settings to attain better performance of sketch-based video retrieval along with a relational module to overcome the problem of overfitting. Findings: The study derives specific sketch sequences from its formulated dataset to compute instance-level query processing for video retrieval. Further, it also addresses the limitations arising in the context of coarse-grained video retrieval models and sketch-based still image retrieval. The aggregated dataset for rich annotation assisted in the experimental simulation. The experimental evaluation with respect to the performance metric evaluates the 3D CNN baselines under strong supervision and weak-supervision where CNN BL-Type-2 attains maximum video retrieval accuracy of 99.96% for triplet grading feature under relational schema. CNN BL-Type-1 attains maximum retrieval accuracy of 97.40% considering the triplet grading features from the improved SBVR. The evaluation metric for the instance level retrieval process also considers true matching of sketches with the videos, it clearly shows that the appropriate appearance and motion based feature selection has enhanced the video retrieval accuracy up to 96.90% with 99.28% accuracy in action identification considering motion stream, 98.17% for appearance module and 98.45% for fusion module. Another important aspect of the proposed research context is that it addresses the problem of cross-modality while executing the simultaneous matching paradigm for visual appearances of the object with its movement appearing on particular video scenes. The experimental outcome showsits comparable effectiveness relative to the existing system of CNN. Novelty: Unlike the conventional system of sketch analysis, which is more focused on static objects or scenes, the presented approach can efficiently compute the important visual intrinsic appearance details of the object of interest from the sketch and then activate the operations for video retrieval. The proposed CNN based learning model with improved P-SBVR dataset attains better computing time for retrieval with are approximately (200, 210 and 214) milliseconds for CNN BL-Type-1, CNN BL-Type-2, CNN BL-Type-3 and comparable with the existing deep learning based SBVR models. Keywords: Sketch Based Video Retrieval; Intrinsic Appearance Details; Meta Learning; Sketch Dataset; Cross Modality Problem

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Yasseen, Zahraa, Anne Verroust-Blondet, and Ahmad Nasri. "View selection for sketch-based 3D model retrieval using visual part shape description." Visual Computer 33, no. 5 (2016): 565–83. http://dx.doi.org/10.1007/s00371-016-1328-7.

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Tan, Xiaohui, Yachun Fan, and Ruiliang Guo. "Local features and manifold ranking coupled method for sketch-based 3D model retrieval." Frontiers of Computer Science 12, no. 5 (2018): 1000–1012. http://dx.doi.org/10.1007/s11704-017-6595-6.

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Geng, Yu-lei, Jin Wang, Guo-dong Lu, Zheng Liu, and Gang Chen. "Sketch based garment modeling on an arbitrary view of a 3D virtual human model." Journal of Zhejiang University SCIENCE C 12, no. 3 (2011): 195–203. http://dx.doi.org/10.1631/jzus.c1000049.

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Wang, Feng, Lanfen Lin, and Min Tang. "A new sketch-based 3D model retrieval approach by using global and local features." Graphical Models 76, no. 3 (2014): 128–39. http://dx.doi.org/10.1016/j.gmod.2013.11.002.

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Mao, Dianhui, and Zhihao Hao. "A Novel Sketch-Based Three-Dimensional Shape Retrieval Method Using Multi-View Convolutional Neural Network." Symmetry 11, no. 5 (2019): 703. http://dx.doi.org/10.3390/sym11050703.

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Retrieving 3D models by adopting hand-drawn sketches to be the input has turned out to be a popular study topic. Most current methods are based on manually selected features and the best view produced for 3D model calculations. However, there are many problems with these methods such as distortion. For the purpose of dealing with such issues, this paper proposes a novel feature representation method to select the projection view and adapt the maxout network to the extended Siamese network architecture. In addition, the strategy is able to handle the over-fitting issue of convolutional neural networks (CNN) and mitigate the discrepancies between the 3D shape domain and the sketch. A pre-trained AlexNet was used to sketch the extract features. For 3D shapes, multiple 2D views were compiled into compact feature vectors using pre-trained multi-view CNNs. Then the Siamese convolutional neural networks were learnt for transforming the two domains’ original characteristics into nonlinear feature space, which mitigated the domain discrepancy and kept the discriminations. Two large data sets were used for experiments, and the experimental results show that the method is superior to the prior art methods in accuracy.

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Jankoska, Maja. "Application CAD methods in 3D clothing design." Tekstilna industrija 68, no. 4 (2020): 31–37. http://dx.doi.org/10.5937/tekstind2004031j.

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Modeling virtual garments is known as a very laborious process, which includes designing 2D patterns, positioning, and sewing them in 3D, performing a physically-based simulation, and then iteratively adjusting patterns and parameters, repeating the process until the expected effect is achieved. The aim of this paper is to make a 2D pattern and 3D simulation of a men's shirt. First, the computer construction of the men's shirt model was made on a sketch-based, i.e. a 2D pattern is developed. Secondly, 2D pattern is developed by flattening 3D surface patches, then a 3D fine garment is formed directly based on the information of sewing relations and correspondence between 3D surfaces and 2D patterns. The method is able to design 3D garments and 2D patterns efficiently and accurately.

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Abramov, Vyacheslav V., Vyacheslav V. Rybin, Konstantin V. Troyakov, Artem A. Kardash, and Alexey Yu Ivanov. "Method of design of heroic transmission." E3S Web of Conferences 548 (2024): 06001. http://dx.doi.org/10.1051/e3sconf/202454806001.

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This document describes how to construct a heroic transmission used in the mechanization of agricultural machinery. The article discusses the basic principles, design features and advantages of heroic transmission. Various methods of designing heroic programs are also considered. Based on the information considered, a method for designing a heroic transmission was developed. Based on the calculation, sketches of the impeller of the hero gear were developed. Based on the sketch of the outer wheel and the eccentricity, the obtained data were substituted into the parametric equation of the eccentroid cycloid, the profile of which is the basis for the construction of the inner wheel of the rocking pair. Based on the sketch, a 3D model of heroic transmission was developed, which was based on mathematical modeling.

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LEI, Haopeng, Yuhua LI, Helian CHEN, Shujin LIN, Guifeng ZHENG, and Xiaonan LUO. "A novel sketch-based 3D model retrieval method by integrating skeleton graph and contour feature." Journal of Advanced Mechanical Design, Systems, and Manufacturing 9, no. 4 (2015): JAMDSM0049. http://dx.doi.org/10.1299/jamdsm.2015jamdsm0049.

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Xiaolun, ZHOU, CHEN Haifeng, HAO Ganggang, LUO Cheng, and ZHU Wei. "Study on 3D-IDS Based Spacecraft Development Mode." MATEC Web of Conferences 288 (2019): 02006. http://dx.doi.org/10.1051/matecconf/201928802006.

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The functions, applications, developments and current application mode of IDS2.x system are generally introduced in this paper. Then the development mode of spacecraft based on IDS2.x system is described. The existing problems especially the information redundancy of mechanical interface and their effects are pointed out. A new solution is proposed by developing 3D-IDS system. The central functions of 3D-IDS system are shown in this study. A new application mode of 3D-IDS system is explored and described by showing how to fill in, countersign and apply with 3D-IDS file. The 2D drawing and sketch are removed from 3D-IDS system to avoid information redundancy of mechanical interface. The consistency between 3D model and the parameters of IDS file can be guaranteed by the interface tool. The efficiency of filling in, countersigning and applying has been improved significantly, which greatly promotes the coordination and total efficiency of spacecraft system design departments and equipment design departments.

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Jiao, Shichao, Xie Han, Fengguang Xiong, Fusheng Sun, Rong Zhao, and Liqun Kuang. "Cross-Domain Correspondence for Sketch-Based 3D Model Retrieval Using Convolutional Neural Network and Manifold Ranking." IEEE Access 8 (2020): 121584–95. http://dx.doi.org/10.1109/access.2020.3006585.

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Wang, X. W., S. F. Wu, H. B. Qin, and Z. Y. Wang. "Research of Holographic Assembly Technology for Overhead Traveling Crane’s Bridge Based on the Holographic Model." Advanced Materials Research 215 (March 2011): 356–60. http://dx.doi.org/10.4028/www.scientific.net/amr.215.356.

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According to the crane’s bridge structure assembly characteristics, taking advantages of 3D CAD software about “top-down” parameterization model design, importing the concept of product holograph assembly, all-purpose distortional module was established. Adaptive architecture based on holographic assembling and knowledge reuse was constituted ,through renewing and reusing the distinct assembly module knowledge, which used “Layout Sketch “controlling the assembly parameter and adopted the constraint relation of holographic model realized the product design alteration. The results show that the technology has satisfied the needs for assembly knowledge reuse of the products variant design, to greatly enhance product knowledge inheritance.

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Jia, Yi Fan, Yun Dong Peng, and Hua Jiang. "3D Fine Modeling Method in Large and Complex Steel Truss Bridge." Applied Mechanics and Materials 501-504 (January 2014): 1408–12. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.1408.

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The design and construction of the stiffening steel truss bridge is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of Baling River Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of Baling River Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.

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Haris, Setiawan, Pratama Andri, Rina, and Yazid Diratama M. "KAJI EKSPERIMEN MODEL 3D RODA GIGI HELIKS BERBASIS SCRIPT MENGGUNAKAN SOFTWARE AUTODESK FUSION 360®." AUSTENIT 14, no. 1 (2022): 42–47. https://doi.org/10.5281/zenodo.6499821.

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3D modeling of a product is one of the most important element in manufacturing process. The purpose of this research is to create and compare script-based 3D modeling of helical gears using Autodesk Fusion 360® software then compare with 3D helical gear model from ISO T.E.A standard part number 0518. The research method used was an experimental study. The research begins with the creation of script type A that has a face (sketch plane) perpendicular to the XY plane. While the type B script uses a face that is perpendicular to its helical gear curve. For create the 3D gear profile in script A and B, the loft feature operation was used. The number of faces that analyzed here are 3.5 and 7 and the number of points on the gears involute spline that analyzed here are 5, 15 and 25. Furthermore, the model made by script A and B will be analyzed and compared to 3D helical gear model from ISO T.E.A standard part number 0518 based on its volume and geometry using solidwork® and geomagic® software. The results show that the 3D model using script tipe A with total number of face is 7, is the model that most closely resembles the ISO T.E.A standard number part 0518 3D helical gear model, while 3D model using script tipe B with total number of face is 3, is the model that most closely resembles the ISO T.E.A standard number part 0518. Based on the specified tolerance limits, both models have met general tolerance standards.

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Singh, S. P., K. Jain, and V. R. Mandla. "Image based 3D city modeling : Comparative study." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 537–46. http://dx.doi.org/10.5194/isprsarchives-xl-5-537-2014.

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3D city model is a digital representation of the Earth’s surface and it’s related objects such as building, tree, vegetation, and some manmade feature belonging to urban area. The demand of 3D city modeling is increasing rapidly for various engineering and non-engineering applications. Generally four main image based approaches were used for virtual 3D city models generation. In first approach, researchers were used Sketch based modeling, second method is Procedural grammar based modeling, third approach is Close range photogrammetry based modeling and fourth approach is mainly based on Computer Vision techniques. SketchUp, CityEngine, Photomodeler and Agisoft Photoscan are the main softwares to represent these approaches respectively. These softwares have different approaches & methods suitable for image based 3D city modeling. Literature study shows that till date, there is no complete such type of comparative study available to create complete 3D city model by using images. This paper gives a comparative assessment of these four image based 3D modeling approaches. This comparative study is mainly based on data acquisition methods, data processing techniques and output 3D model products. For this research work, study area is the campus of civil engineering department, Indian Institute of Technology, Roorkee (India). This 3D campus acts as a prototype for city. This study also explains various governing parameters, factors and work experiences. This research work also gives a brief introduction, strengths and weakness of these four image based techniques. Some personal comment is also given as what can do or what can’t do from these softwares. At the last, this study shows; it concluded that, each and every software has some advantages and limitations. Choice of software depends on user requirements of 3D project. For normal visualization project, SketchUp software is a good option. For 3D documentation record, Photomodeler gives good result. For Large city reconstruction; CityEngine is a good product. Agisoft Photoscan software creates much better 3D model with good texture quality and automatic processing. So this image based comparative study is useful for 3D city user community. Thus this study will provide a good roadmap for geomatics user community to create photo-realistic virtual 3D city model by using image based techniques.

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Chang, Zhi Yong, Jian Xin Yang, Neng Wan, and Jie Zhao. "Research on the Algorithm of Technological Dimension Chain Based on 3D Process Models." Applied Mechanics and Materials 58-60 (June 2011): 1421–28. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1421.

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Aiming at the wide application of technological design in three-dimensional CAD software, while the technological dimension chain’s calculation is completed in the two-dimensional process sketch still. A sort of method of calculating technological dimension chain was put forward, which is based on three-dimensional process model. Three-dimensional process model is created through the process of technological design by introducing the concept of three-dimensional process model, and then, the information of process dimension is extracted from the three-dimensional process model and a tree oriented process dimension structure is established. On the basis of the above, we can proceed with technological dimension chain’s integrated calculation and analysis, redistributing the process dimension and its corresponding allowance dimension and tolerance. It will offer more reasonable and reliable process parameters to the technologists in the design of process route, and also effectively solve the problems of the technological dimension chain’s calculation involving to CAPP system in the environment of three-dimensional CAD software.

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Zhou, Ding, Guohua Wei, and Xiaojun Yuan. "Three-Dimensional Shape Reconstruction from Digital Freehand Design Sketching Based on Deep Learning Techniques." Applied Sciences 14, no. 24 (2024): 11717. https://doi.org/10.3390/app142411717.

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This paper proposes a method for 3D reconstruction from Freehand Design Sketching (FDS) in architecture and industrial design. The implementation begins by extracting features from the FDS using the self-supervised learning model DINO, followed by the continuous Signed Distance Function (SDF) regression as an implicit representation through a Multi-Layer Perceptron network. Taking eyeglass frames as an example, the 2D contour and freehand sketch optimize the alignment by their geometrical similarity while exploiting symmetry to improve reconstruction accuracy. Experiments demonstrate that this method can effectively reconstruct high-quality 3D models of eyeglass frames from 2D freehand sketches, outperforming existing deep learning-based 3D reconstruction methods. This research offers practical information for understanding 3D modeling methodology for FDS, triggering multiple modes of design creativity and efficient scheme adjustments in industrial or architectural conceptual design. In conclusion, this novel approach integrates self-supervised learning and geometric optimization to achieve unprecedented fidelity in 3D reconstruction from FDS, setting a new benchmark for AI-driven design processes in industrial and architectural applications.

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Song, Hua, and Ziqiao Wen. "Interactive design modeling of 3D styling combining Bezier curve and Harris corner point detection algorithm." PLOS ONE 20, no. 4 (2025): e0319323. https://doi.org/10.1371/journal.pone.0319323.

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Enhancing the effectiveness and precision of 3D modeling design has become the main focus of current research due to the ongoing development of 3D modeling applications in numerous fields. In this study, an interactive 3D modeling design model based on Bezier curve and Harris corner detection algorithm is constructed. First, the output image is denoised, and then the improved Harris corner detection algorithm is used to obtain the feature points, which ensures the clarity of the image while extracting the key features. Second, a new sketch contour generation method is proposed by combining feature points with Bezier curves. Finally, a combination of Bezier surfaces and Delaunay triangulation is used for surface reconstruction and 3D modeling of the image is rendered. The results revealed that the improved Harris corner point detection algorithm could detect 120 3D image features of a kettle in 3.2s, and detect 50 3D image feature points of a vase in only 0.43s, which had very high detection speed and accuracy. The total time for surface reconstruction of a mechanical part model by combining Bezier surface and Delaunay triangulation was 0.524s, which met the basic user requirements. The teapot image modeling experiment proves the feasibility of the overall design method of the study. Moreover, through the 3D modeling interaction design model designed by the study, the designer can construct the accurate 3D modeling based on the real thing faster, which greatly saves time, improves efficiency, and pushes forward the development of 3D modeling design technology.

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Singh, S. P., K. Jain, and V. R. Mandla. "A new approach towards image based virtual 3D city modeling by using close range photogrammetry." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-5 (May 28, 2014): 329–37. http://dx.doi.org/10.5194/isprsannals-ii-5-329-2014.

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3D city model is a digital representation of the Earth's surface and it’s related objects such as building, tree, vegetation, and some manmade feature belonging to urban area. The demand of 3D city modeling is increasing day to day for various engineering and non-engineering applications. Generally three main image based approaches are using for virtual 3D city models generation. In first approach, researchers used Sketch based modeling, second method is Procedural grammar based modeling and third approach is Close range photogrammetry based modeling. Literature study shows that till date, there is no complete solution available to create complete 3D city model by using images. These image based methods also have limitations This paper gives a new approach towards image based virtual 3D city modeling by using close range photogrammetry. This approach is divided into three sections. First, data acquisition process, second is 3D data processing, and third is data combination process. In data acquisition process, a multi-camera setup developed and used for video recording of an area. Image frames created from video data. Minimum required and suitable video image frame selected for 3D processing. In second section, based on close range photogrammetric principles and computer vision techniques, 3D model of area created. In third section, this 3D model exported to adding and merging of other pieces of large area. Scaling and alignment of 3D model was done. After applying the texturing and rendering on this model, a final photo-realistic textured 3D model created. This 3D model transferred into walk-through model or in movie form. Most of the processing steps are automatic. So this method is cost effective and less laborious. Accuracy of this model is good. For this research work, study area is the campus of department of civil engineering, Indian Institute of Technology, Roorkee. This campus acts as a prototype for city. Aerial photography is restricted in many country and high resolution satellite images are costly. In this study, proposed method is based on only simple video recording of area. Thus this proposed method is suitable for 3D city modeling. Photo-realistic, scalable, geo-referenced virtual 3D city model is useful for various kinds of applications such as for planning in navigation, tourism, disasters management, transportations, municipality, urban and environmental managements, real-estate industry. Thus this study will provide a good roadmap for geomatics community to create photo-realistic virtual 3D city model by using close range photogrammetry.

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Wei, Qun, Hua Jiang, and Sheng Ji Li. "A Study on the 3D Fine Model of a Large-Scale and Complicated Steel Truss Bridge." Applied Mechanics and Materials 99-100 (September 2011): 383–87. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.383.

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The design and construction of the stiffening steel truss bridges is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of River Baling Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of River Baling Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.

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Zhao, Feiyu. "A Novel Computational Paradigm for Reconstructing Solid CAD Features from a Segmented Manifold Triangular Mesh." Applied Sciences 14, no. 14 (2024): 6183. http://dx.doi.org/10.3390/app14146183.

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We introduce a novel computational paradigm for reconstructing solid computer-aided design (CAD) features from the surface of a segmented manifold triangular mesh. This paradigm addresses the challenge of capturing high-level design semantics for manifold triangular meshes and facilitates parametric and variational design capabilities. We categorize four prevalent features, namely extrusion, rotation, sweep, and loft, as generalized swept bodies driven by cross-sectional sketches and feature paths, providing a unified mathematical representation for various feature types. The numerical optimization-based approach conducts geometric processing on the segmented manifold triangular mesh patch, extracting cross-sectional sketch curves and feature paths from its surface, and then reconstructing appropriate features using the Open CASCADE kernel. We employ the personalized three-dimensional (3D) printed model as a case study. Parametric and variant designs of the 3D-printed models are achieved through feature reconstruction of the manifold triangular mesh obtained via 3D scanning.

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Qiu, Wenge, Liao Jian, Yunjian Cheng, and Hengbin Bai. "Three-Dimensional Reconstruction of Tunnel Face Based on Multiple Images." Advances in Civil Engineering 2021 (April 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/8837309.

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The current geological sketch in tunnel engineering is mainly based on sketches of workers. However, geological sketch drawn by workers always offers fundamental data purely due to its drawing mode. A novel drawing method for geological sketch has been introduced using multiview photos in this process. The images of tunnel faces are taken from multiple angles, and every two pictures have overlaps. By measuring the distance between the camera and the tunnel face using a laser range finder, the photographic scale of each photo can be confirmed. SpeededUp Robust Features (SURF) is a good practice for detecting feature points, and the sparse point cloud is reconstructed from multiview photos by structure from motion (SFM). However, the sparse point cloud is not suitable for analysis for structural planes due to its sparsity. Therefore, patch-based multiview stereo (PMVS) is used to reconstruct dense point cloud from the sparse point cloud. After 3D reconstruction, the details of the tunnel face are recorded. The proposed technique was applied to multiview photos acquired in the Xiaosanxia railway tunnel and Fengjie tunnel in Chongqing, China. In order to record the geological conditions of the tunnel face quickly and accurately, Chengdu Tianyou Tunnelkey has developed a set of software and hardware integration system called CameraPad. Besides, CameraPad was used to collect the multiview photos of the tunnel face in the No. 1 Xinan railway tunnel in Jilin, China. By comparing with traditional and existing methods, the proposed method offers a more reductive model for geological conditions of the tunnel face.

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Z. Abidin, Z. F., and M. N. Osman Zahid. "Real time object customization in CAD system." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (2019): 1066. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp1066-1075.

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Object customization in Computer Aided Design (CAD) is a method used to modify the sketch parameters and change the model geometries. This method is one of important features in part modelling which empowered CAD user to simply modify their product. The conventional method of modifying CAD model is usually relied on the manual editing. This paper outlines a development of program than can be integrated in CAD/CAM system for real time object customization. It uses Visual Basic (VB) programming with custom Graphical User Interface (GUI) generated in NX10 (CAD/CAM software) interface. The main contribution of this research is a tool for real time object customization that capable to assist the modification of 3D model. In order to develop the tool, 3D model modification instructions are translated into programming codes by using Journaling tools in NX interface. Editable parameters are identified based on the model shapes. The related codes are reconstructed, modified and linked to the functional GUI. This allows user to simply modify the model shapes in real time with minimum process steps. The performance of the method is evaluated in terms of the reduction of process steps and time in modifying the 3D model in CAD system. All the findings and details of approach are presented.

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