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Journal articles on the topic 'Texture mapping'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Oliveira, Miguel, Gi-Hyun Lim, Tiago Madeira, Paulo Dias, and Vítor Santos. "Robust Texture Mapping Using RGB-D Cameras." Sensors 21, no. 9 (2021): 3248. http://dx.doi.org/10.3390/s21093248.

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The creation of a textured 3D mesh from a set of RGD-D images often results in textured meshes that yield unappealing visual artifacts. The main cause is the misalignments between the RGB-D images due to inaccurate camera pose estimations. While there are many works that focus on improving those estimates, the fact is that this is a cumbersome problem, in particular due to the accumulation of pose estimation errors. In this work, we conjecture that camera poses estimation methodologies will always display non-neglectable errors. Hence, the need for more robust texture mapping methodologies, ca

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Vázquez, Sergio, and Margarita Amor. "Texture Mapping on NURBS Surface." Proceedings 2, no. 18 (2018): 1197. http://dx.doi.org/10.3390/proceedings2181197.

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Texture mapping allows high resolution details over 3D surfaces. Nevertheless, texture mapping has a number of unresolved problems such as distortion, boundary between textures or filtering. On the other hand, NURBS surfaces are usually decomposed into a set of Bézier surfaces, since NURBS surface can not be directly rendered by GPU. In this work, we propose a texture mapping directly on the NURBS surfaces using the RPNS (Rendering Pipeline for NURBS Surface) method, which allows the rendering of NURBS surface directly on the GPU. Our proposal facilitates the implementation while minimizing th

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Buyukdemircioglu, Mehmet, and Sander Oude Elberink. "Automated texture mapping CityJSON 3D city models from oblique and nadir aerial imagery." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W5-2024 (June 27, 2024): 87–93. http://dx.doi.org/10.5194/isprs-annals-x-4-w5-2024-87-2024.

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Abstract. The incorporation of detailed textures in 3D city models is crucial for enhancing their realism, as it adds depth and authenticity to the visual representation, thereby closely mimicking the surfaces and materials found in actual urban environments. Existing 3D city models can be enriched with energy-related roof and façade details, such as the material type (such as windows, green façades, bricks) and sunlight reflectance which can be derived from texture information. However, a common limitation of these models is their lack of very high resolution textures, which which reduces the

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Lai, Jiing-Yih, Tsung-Chien Wu, Watchama Phothong, Douglas Wang, Chao-Yaug Liao, and Ju-Yi Lee. "A High-Resolution Texture Mapping Technique for 3D Textured Model." Applied Sciences 8, no. 11 (2018): 2228. http://dx.doi.org/10.3390/app8112228.

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We proposed a texture mapping technique that comprises mesh partitioning, mesh parameterization and packing, texture transferring, and texture correction and optimization for generating a high-quality texture map of a three-dimensional (3D) model for applications in e-commerce presentations. The main problems in texture mapping are that the texture resolution is generally worse than in the original images and considerable photo inconsistency exists at the transition of different image sources. To improve the texture resolution, we employed an oriented boundary box method for placing mesh islan

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He, Haiqing, Jing Yu, Penggen Cheng, et al. "Automatic, Multiview, Coplanar Extraction for CityGML Building Model Texture Mapping." Remote Sensing 14, no. 1 (2021): 50. http://dx.doi.org/10.3390/rs14010050.

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Most 3D CityGML building models in street-view maps (e.g., Google, Baidu) lack texture information, which is generally used to reconstruct real-scene 3D models by photogrammetric techniques, such as unmanned aerial vehicle (UAV) mapping. However, due to its simplified building model and inaccurate location information, the commonly used photogrammetric method using a single data source cannot satisfy the requirement of texture mapping for the CityGML building model. Furthermore, a single data source usually suffers from several problems, such as object occlusion. We proposed a novel approach t

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Hu, PengPeng, Taku Komura, Duan Li, Ge Wu, and Yueqi Zhong. "3D textile reconstruction based on KinectFusion and synthesized texture." International Journal of Clothing Science and Technology 29, no. 6 (2017): 793–806. http://dx.doi.org/10.1108/ijcst-01-2017-0007.

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Purpose The purpose of this paper is to present a novel framework of reconstructing the 3D textile model with synthesized texture. Design/methodology/approach First, a pipeline of 3D textile reconstruction based on KinectFusion is proposed to obtain a better 3D model. Second, “DeepTextures” method is applied to generate new textures for various three-dimensional textile models. Findings Experimental results show that the proposed method can conveniently reconstruct a three-dimensional textile model with synthesized texture. Originality/value A novel pipeline is designed to obtain 3D high-quali

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Francois, G., S. Pattanaik, K. Bouatouch, and G. Breton. "Subsurface Texture Mapping." IEEE Computer Graphics and Applications 28, no. 1 (2008): 34–42. http://dx.doi.org/10.1109/mcg.2008.16.

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Takai, Takeshi, and Takashi Matsuyama. "Harmonized Texture Mapping." Journal of The Institute of Image Information and Television Engineers 63, no. 4 (2009): 488–99. http://dx.doi.org/10.3169/itej.63.488.

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9

Yuksel, Cem, Sylvain Lefebvre, and Marco Tarini. "Rethinking Texture Mapping." Computer Graphics Forum 38, no. 2 (2019): 535–51. http://dx.doi.org/10.1111/cgf.13656.

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Sun, Xin, Guofu Xie, Yue Dong, et al. "Diffusion curve textures for resolution independent texture mapping." ACM Transactions on Graphics 31, no. 4 (2012): 1–9. http://dx.doi.org/10.1145/2185520.2185570.

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11

Dal’Col, Lucas, Daniel Coelho, Tiago Madeira, Paulo Dias, and Miguel Oliveira. "A Sequential Color Correction Approach for Texture Mapping of 3D Meshes." Sensors 23, no. 2 (2023): 607. http://dx.doi.org/10.3390/s23020607.

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Texture mapping can be defined as the colorization of a 3D mesh using one or multiple images. In the case of multiple images, this process often results in textured meshes with unappealing visual artifacts, known as texture seams, caused by the lack of color similarity between the images. The main goal of this work is to create textured meshes free of texture seams by color correcting all the images used. We propose a novel color-correction approach, called sequential pairwise color correction, capable of color correcting multiple images from the same scene, using a pairwise-based method. This

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Coelho, Daniel, Lucas Dal’Col, Tiago Madeira, Paulo Dias, and Miguel Oliveira. "A Robust 3D-Based Color Correction Approach for Texture Mapping Applications." Sensors 22, no. 5 (2022): 1730. http://dx.doi.org/10.3390/s22051730.

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Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured meshes free of texture seams through a process of color correcting all images of the scene. To accomplish this goal, we propose two contributions to the state-of-the-art of color correction: a pairwise-based methodology, capable of color correcting multiple images from the same scene; the application of

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Madaras, Martin, and Roman Ďurikovič. "Skeleton-based 3D Surface Parameterization Applied on Texture Mapping." Journal of Applied Mathematics, Statistics and Informatics 8, no. 2 (2012): 5–19. http://dx.doi.org/10.2478/v10294-012-0010-6.

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Abstract Assume a 2D manifold surface topologically equivalent to a sphere with handles we propose a novel 3D surface parametrization along the surface skeleton. First, we use a global mapping of the surface vertices onto a computed skeleton. Second, we use local mapping of the surrounding area of each skeleton segment into a small rectangle whose size is derived based on the surface properties around the segment. Each rectangle can be textured by assigning the local u;v texture coordinates. Furthermore, these rectangles are packed into a large squared texture called skeleton texture map (STM)

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Yang, Junxing, Lu Lu, Ge Peng, He Huang, Jian Wang, and Fei Deng. "Texture-Mapping Error Removal Based on the BRIEF Operator in Image-Based Three-Dimensional Reconstruction." Remote Sensing 15, no. 2 (2023): 536. http://dx.doi.org/10.3390/rs15020536.

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In image-based three-dimensional (3D) reconstruction, texture-mapping techniques can give the model realistic textures. When the geometric surface in some regions is not reconstructed, such as for moving cars, powerlines, and telegraph poles, the textures in the corresponding image are textured to other regions, resulting in errors. To solve this problem, this letter proposes an image consistency detection method based on the Binary Robust Independent Elementary Features (BRIEF) descriptor. The method is composed of two parts. First, each triangle in the mesh and its neighboring triangles are

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Hu, Shirui, Zhiyuan Li, Shaohua Wang, Mingyao Ai, and Qingwu Hu. "A Texture Selection Approach for Cultural Artifact 3D Reconstruction Considering Both Geometry and Radiation Quality." Remote Sensing 12, no. 16 (2020): 2521. http://dx.doi.org/10.3390/rs12162521.

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3D reconstruction of culture artifacts has great potential in digital heritage documentation and protection. Choosing the proper images for texture mapping from multi-view images is a major challenge for high precision and high quality 3D reconstruction of culture artifacts. In this study, a texture selection approach, considering both the geometry and radiation quality for 3D reconstruction of cultural artifacts while using multi-view dense matching is proposed. First, a Markov random field (MRF) method is presented to select images from the best angle of view among texture image sets. Then,

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16

Heckbert, Paul S. "Survey of Texture Mapping." IEEE Computer Graphics and Applications 6, no. 11 (1986): 56–67. http://dx.doi.org/10.1109/mcg.1986.276672.

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Jin, Yao, Zeyun Shi, Jun Sun, Jin Huang, and Ruofeng Tong. "Content-aware texture mapping." Graphical Models 76, no. 3 (2014): 152–61. http://dx.doi.org/10.1016/j.gmod.2013.11.001.

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Inzerillo, L., F. Di Paola, and Y. Alogna. "HIGH QUALITY TEXTURE MAPPING PROCESS AIMED AT THE OPTIMIZATION OF 3D STRUCTURED LIGHT MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 389–96. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-389-2019.

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<p><strong>Abstract.</strong> This article presents the evaluation of a pipeline to develop a high-quality texture mapping implementation which makes it possible to carry out a semantic high-quality 3D textured model. Due to geometric errors such as camera parameters or limited image resolution or varying environmental parameters, the calculation of a surface texture from 2D images could present several color errors. And, sometimes, it needs adjustments to the RGB or lightness information on a defined part of the texture. The texture mapping procedure is composed of mesh para

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Thangamania, K., R. Ichikari, T. Okuma, T. Ishikawa, and T. Kurata. "GEOMETRY AND TEXTURE MEASURES FOR INTERACTIVE VIRTUALIZED REALITY INDOOR MODELER." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (May 11, 2015): 43–48. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-43-2015.

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This paper discusses the algorithm to detect the distorted textures in the virtualized reality indoor models and automatically generate the necessary 3D planes to hold the undistorted textures. Virtualized reality (VR) interactive indoor modeler, our previous contribution enables the user to interactively create their desired indoor VR model from a single 2D image. The interactive modeler uses the projective texture mapping for mapping the textures over the manually created 3D planes. If the user has not created the necessary 3D planes, then the texture that belong to various objects are proje

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Bail, Robert, and Dong Lee. "Displacement Mapping as a Highly Flexible Surface Texturing Tool for Additively Photopolymerized Components." Micromachines 15, no. 5 (2024): 575. http://dx.doi.org/10.3390/mi15050575.

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Displacement mapping is a computer graphics technique that enables the design of components with regularly or randomly textured surfaces that can be quickly materialized on a three-dimensional (3D) printer when needed. This approach is, in principle, more flexible, faster, and more economical compared to conventional texturing methods, but the accuracy of the texture depends heavily on the parameters used. The purpose of this study is to demonstrate how to produce a surface-textured part using polygonal (mesh) modeling software and a photopolymerizable resin and to develop a universal methodol

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Kang, Junhua, Fei Deng, Xinwei Li, and Fang Wan. "AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 341–47. http://dx.doi.org/10.5194/isprsarchives-xli-b1-341-2016.

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In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture reconstruction is also a crucial step for generating high-quality and visually realistic 3D models. However, most of the texture reconstruction approaches are probably leading to texture fragmentation and memory inefficiency. In this paper, we introduce an automatic framework of texture reconstruction to generate textures from oblique

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Kang, Junhua, Fei Deng, Xinwei Li, and Fang Wan. "AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 341–47. http://dx.doi.org/10.5194/isprs-archives-xli-b1-341-2016.

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In recent years, the photorealistic 3D city models are increasingly important in various geospatial applications related to virtual city tourism, 3D GIS, urban planning, real-estate management. Besides the acquisition of high-precision 3D geometric data, texture reconstruction is also a crucial step for generating high-quality and visually realistic 3D models. However, most of the texture reconstruction approaches are probably leading to texture fragmentation and memory inefficiency. In this paper, we introduce an automatic framework of texture reconstruction to generate textures from oblique

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COHEN, JONATHAN, DINESH MANOCHA, and MARC OLANO. "SUCCESSIVE MAPPINGS: AN APPROACH TO POLYGONAL MESH SIMPLIFICATION WITH GUARANTEED ERROR BOUNDS." International Journal of Computational Geometry & Applications 13, no. 01 (2003): 61–94. http://dx.doi.org/10.1142/s0218195903001074.

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We present the use of mapping functions to automatically generate levels of detail with known error bounds for polygonal models. We develop a piece-wise linear mapping function for each simplification operation and use this function to measure deviation of the new surface from both the previous level of detail and from the original surface. In addition, we use the mapping function to compute appropriate texture coordinates if the original model has texture coordinates at its vertices. Our overall algorithm uses edge collapse operations. We present rigorous procedures for the generation of loca

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Roters, Franz, Heyon S. Jeon-Haurand, and Dierk Raabe. "A Texture Evolution Study Using the Texture Component Crystal Plasticity FEM." Materials Science Forum 495-497 (September 2005): 937–44. http://dx.doi.org/10.4028/www.scientific.net/msf.495-497.937.

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Crystal plasticity FEM simulations of plane strain compression were performed. The Texture Component Crystal Plasticity-FEM was used for the texture mapping. Two different starting textures (random and hot rolling texture) were studied using four different FE meshes and two different sets of boundary conditions. While for the random starting texture the evolution of the texture with deformation was found to be rather similar in all cases studied, the simulations using an experimental hot rolling texture as staring texture are much more sensitive to the boundary conditions and probably also to

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Kang, Donghwi, Jeongyeon Kim, Jongchan Lee, Haeju Lee, Jihyeok Kim, and Jungwon Byun. "A Study on Vector-Based Processing and Texture Application Techniques for 3D Object Creation and Visualization." Applied Sciences 15, no. 7 (2025): 4011. https://doi.org/10.3390/app15074011.

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This study proposes a technique for generating 3D objects from Shapefile-based 2D spatial data and converting them to comply with the CityGML 3.0 standard. In particular, the proposed Wise Interpolated Texture (hereafter referred to as WIT) technique optimizes texture mapping and enhances visual quality. High-resolution Z-values were extracted using DEM data, and computational efficiency was improved by applying the constrained Delaunay triangulation algorithm. This study implemented more realistic visual representations using high-resolution orthorectified imagery (hereafter referred to as or

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Kim, Jungeon, Hyomin Kim, Hyeonseo Nam, Jaesik Park, and Seungyong Lee. "TextureMe: High-Quality Textured Scene Reconstruction in Real Time." ACM Transactions on Graphics 41, no. 3 (2022): 1–18. http://dx.doi.org/10.1145/3503926.

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Three-dimensional (3D) reconstruction using an RGB-D camera has been widely adopted for realistic content creation. However, high-quality texture mapping onto the reconstructed geometry is often treated as an offline step that should run after geometric reconstruction. In this article, we propose TextureMe , a novel approach that jointly recovers 3D surface geometry and high-quality texture in real time. The key idea is to create triangular texture patches that correspond to zero-crossing triangles of truncated signed distance function (TSDF) progressively in a global texture atlas. Our approa

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Gao, Xin Rui. "Bezier Surfaces and Texture Mapping Using Java 3D." Advanced Engineering Forum 6-7 (September 2012): 1000–1003. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.1000.

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By using Bezier surface matrix formula and the algorithms of texture mapping, the texture mapping onto Bezier surface and its control points net were tested. The texture mapping for Bezier surface model that is composed of six Bezier surfaces was tested too. From the testing examples, it is concluded that these texture mapping algorithms are reliable. All algorithms were implemented by Java and Java 3D.

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Zhang, Wei, Chun Hua Zhang, and Yan Zhang. "On Application of Texture Mapping Technology in Simulation." Advanced Materials Research 989-994 (July 2014): 1981–84. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1981.

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In the visualized simulation, the application of texture mapping technology can significantly improve image fidelity and superimpose the rich texture details to the surface, making the scene more realistic with real-time and fast invocation. This paper introduced the principle of texture mapping, the mapping process and implementation in software, and described in detail the implementation process of multi-layered texture mapping by example.

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Liu, H., L. Xie, X. Li, and W. X. Wang. "AUTOMATIC TEXTURE MAPPING METHOD FOR 3D MODELS TO CIRCUMVENT OCCLUSION THROUGH 3D SPATIAL THROUGH-VIEW RELATIONSHIPS BETWEEN IMAGES,MODELS, AND POINT CLOUDS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 417–24. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-417-2022.

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Abstract. Photorealistic 3D models play an important role in various applications related to smart cities. Texture mapping plays a crucial role as the last step of 3D reconstruction. The texture of the model directly reflects the visualization and realism of the model. In complex city scenes, objects often have varying degrees of occlusion from one another. Traditional methods to circumvent occlusion by image or model data are not very effective. In this paper, we propose an automatic texture mapping method for 3D models to circumvent occlusion through 3D spatial through-view relationships bet

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Schuster, Kersten, Philip Trettner, Patric Schmitz, and Leif Kobbelt. "A Three-Level Approach to Texture Mapping and Synthesis on 3D Surfaces." Proceedings of the ACM on Computer Graphics and Interactive Techniques 3, no. 1 (2020): 1–19. http://dx.doi.org/10.1145/3384542.

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We present a method for example-based texturing of triangular 3D meshes. Our algorithm maps a small 2D texture sample onto objects of arbitrary size in a seamless fashion, with no visible repetitions and low overall distortion. It requires minimal user interaction and can be applied to complex, multi-layered input materials that are not required to be tileable. Our framework integrates a patch-based approach with per-pixel compositing. To minimize visual artifacts, we run a three-level optimization that starts with a rigid alignment of texture patches (macro scale), then continues with non-rig

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Wei, Dong, and Xian Feng Wei. "A Practical Mipmap Level Selection Method for Mapping Technique." Advanced Materials Research 171-172 (December 2010): 98–103. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.98.

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Texture mapping technique is realized by texture filtering. Mipmap mapping technique use square filter to pre-filter the texture. Generally the image of it’s pixel on the screen is anisotropy, the method of use square as the filter is error to some extent, and the error make the projection not accurate. In this study, Mipmap texture mapping technology-based analysis of the principles and methods of pre-filtering, texture mapping for some systems require a higher accuracy, a former post as the rectangular quad division method, and the method in theory is discussed.

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Zhang, Xuequan, Wei Liu, Bing Liu, Xin Zhao, and Zihe Hu. "Size-Adaptive Texture Atlas Generation and Remapping for 3D Urban Building Models." ISPRS International Journal of Geo-Information 10, no. 12 (2021): 798. http://dx.doi.org/10.3390/ijgi10120798.

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A high-fidelity 3D urban building model requires large quantities of detailed textures, which can be non-tiled or tiled ones. The fast loading and rendering of these models remain challenges in web-based large-scale 3D city visualization. The traditional texture atlas methods compress all the textures of a model into one atlas, which needs extra blank space, and the size of the atlas is uncontrollable. This paper introduces a size-adaptive texture atlas method that can pack all the textures of a model without losing accuracy and increasing extra storage space. Our method includes two major ste

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Cui, Li, Hyungyu Kim, and Euee S. Jang. "A Hybrid Texture Coding Method for Fast Texture Mapping." Journal of Computing Science and Engineering 10, no. 2 (2016): 68–73. http://dx.doi.org/10.5626/jcse.2016.10.2.68.

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Wang, Lujin, Xianfeng Gu, Klaus Mueller, and Shing-Tung Yau. "Uniform texture synthesis and texture mapping using global parameterization." Visual Computer 21, no. 8-10 (2005): 801–10. http://dx.doi.org/10.1007/s00371-005-0324-0.

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Rastogi, Rohit, Akshit Rajan Rastogi, and Divya Sharma. "Texture Mapping of Plant Leaves." International Journal of Social Ecology and Sustainable Development 13, no. 7 (2022): 1–19. http://dx.doi.org/10.4018/ijsesd.290394.

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In point of view global warming and pandemic threats, social ecology and balance is inevitable demand of time to ensure sustainable progress and development. In India and Globe, Agriculture and Farming Process is being revolutionized with Technology and it has helped saving plants from many problems. The growing use of technology will not only ensure food safety in African and Arabian continents but also we may extend the researches to quality of nutritious element to plant leaves. In the presented content, this has been achieved by use of ML and Image Processing and to understand their textur

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Abdelhafiz, A., and Y. Mostafa. "Automatic texture mapping mega-projects." Journal of Spatial Science 65, no. 3 (2018): 467–79. http://dx.doi.org/10.1080/14498596.2018.1536002.

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Merckel, Loic, and Toyoaki Nishida. "User-friendly Texture Mapping Engine." Journal of The Institute of Image Information and Television Engineers 63, no. 12 (2009): 1838–45. http://dx.doi.org/10.3169/itej.63.1838.

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Glassner, Andrew. "Adaptive precision in texture mapping." ACM SIGGRAPH Computer Graphics 20, no. 4 (1986): 297–306. http://dx.doi.org/10.1145/15886.15919.

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Tang, Ying, Jin Wang, Hujun Bao, and Qunsheng Peng. "RBF-based constrained texture mapping." Computers & Graphics 27, no. 3 (2003): 415–22. http://dx.doi.org/10.1016/s0097-8493(03)00036-0.

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40

Duncan, Bruce S., and Arthur J. Olson. "Texture mapping parametric molecular surfaces." Journal of Molecular Graphics 13, no. 4 (1995): 258–64. http://dx.doi.org/10.1016/0263-7855(95)00038-8.

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Eckstein, Ilya, Vitaly Surazhsky, and Craig Gotsman. "Texture Mapping with Hard Constraints." Computer Graphics Forum 20, no. 3 (2001): 95–104. http://dx.doi.org/10.1111/1467-8659.00502.

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Teschner, Michael, Jürgen Brickmann, and Christian Henn. "Texture mapping in molecular graphics." Journal of Molecular Graphics 11, no. 4 (1993): 259–60. http://dx.doi.org/10.1016/0263-7855(93)80012-g.

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Blinn, J. F. "The truth about texture mapping." IEEE Computer Graphics and Applications 10, no. 2 (1990): 78–83. http://dx.doi.org/10.1109/38.50676.

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Han, B., G. Hong, G. Cui, and M. R. Luo. "Evaluation of Texture Mapping Algorithms." Conference on Colour in Graphics, Imaging, and Vision 2, no. 1 (2004): 332–36. http://dx.doi.org/10.2352/cgiv.2004.2.1.art00066.

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Šimek, D., Radomír Kužel, J. Kub, and F. Kunc. "Fitting of Reciprocal Space Maps of Thin Films with Texture and Stress." Materials Science Forum 443-444 (January 2004): 163–66. http://dx.doi.org/10.4028/www.scientific.net/msf.443-444.163.

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Textured thin film of PbTiO3on glass and both textured and stressed films of TiB2on iron substrate were investigated by two-dimensional reciprocal space mapping. The texture and residual stress parameters were found by fitting of the measured intensity in the reciprocal space map by the simulated data. Two different types of texture were found in TiB2for different values of residual stress. The relevance of resulting parameters was checked using different models. Simulation of the data involved a proper empirical texture correction, the Pearson VII profile function, the irradiated volume corre

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You, Boyang, and Barmak Honarvar Shakibaei Asli. "A Model Development Approach Based on Point Cloud Reconstruction and Mapping Texture Enhancement." Big Data and Cognitive Computing 8, no. 11 (2024): 164. http://dx.doi.org/10.3390/bdcc8110164.

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To address the challenge of rapid geometric model development in the digital twin industry, this paper presents a comprehensive pipeline for constructing 3D models from images using monocular vision imaging principles. Firstly, a structure-from-motion (SFM) algorithm generates a 3D point cloud from photographs. The feature detection methods scale-invariant feature transform (SIFT), speeded-up robust features (SURF), and KAZE are compared across six datasets, with SIFT proving the most effective (matching rate higher than 0.12). Using K-nearest-neighbor matching and random sample consensus (RAN

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Lund, E. D., M. C. Wolcott, and G. P. Hanson. "Applying Nitrogen Site-Specifically Using Soil Electrical Conductivity Maps and Precision Agriculture Technology." Scientific World JOURNAL 1 (2001): 767–76. http://dx.doi.org/10.1100/tsw.2001.95.

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Soil texture varies significantly within many agricultural fields. The physical properties of soil, such as soil texture, have a direct effect on water holding capacity, cation exchange capacity, crop yield, production capability, and nitrogen (N) loss variations within a field. In short, mobile nutrients are used, lost, and stored differently as soil textures vary. A uniform application of N to varying soils results in a wide range of N availability to the crop. N applied in excess of crop usage results in a waste of the grower’s input expense, a potential negative effect on the environment,

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Bao, X., G. Q. Zhou, T. Yue, et al. "RESEARCH ON 3D BUILDING VISUALIZATION BASED ON TEXTURE SIMPLIFICATION AND FRACTAL COMPRESSION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 179–85. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-179-2020.

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Abstract. There are some problems in the visualization of 3D model of buildings at present, such as redundant texture data and large memory occupation of loading texture data, which pose challenges to the smooth loading of 3D building visualization. In this paper, we propose a method which using fractal quadtrees to simplify texture data and compress management. Firstly, this method uses the fractal self-similarity and the feature that the same texture has the same fractal dimension to screen all the textures, when the fractal dimension of multiple textures is within the threshold range. Radon

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Zachariou, Valentinos, Christine V. Nikas, Zaid N. Safiullah, Marlene Behrmann, Roberta Klatzky, and Leslie G. Ungerleider. "Common Dorsal Stream Substrates for the Mapping of Surface Texture to Object Parts and Visual Spatial Processing." Journal of Cognitive Neuroscience 27, no. 12 (2015): 2442–61. http://dx.doi.org/10.1162/jocn_a_00871.

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Everyday objects are often composed of multiple parts, each with a unique surface texture. The neural substrates mediating the integration of surface features on different object parts are not fully understood, and potential contributions by both the ventral and dorsal visual pathways are possible. To explore these substrates, we collected fMRI data while human participants performed a difference detection task on two objects with textured parts. The objects could either differ in the assignment of the same texture to different object parts (“texture-location”) or the types of texture (“textur

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Zhang, Qing, Hao Jiang, Yongwei Nie, and Wei-Shi Zheng. "Pyramid Texture Filtering." ACM Transactions on Graphics 42, no. 4 (2023): 1–11. http://dx.doi.org/10.1145/3592120.

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We present a simple but effective technique to smooth out textures while preserving the prominent structures. Our method is built upon a key observation---the coarsest level in a Gaussian pyramid often naturally eliminates textures and summarizes the main image structures. This inspires our central idea for texture filtering, which is to progressively upsample the very low-resolution coarsest Gaussian pyramid level to a full-resolution texture smoothing result with well-preserved structures, under the guidance of each fine-scale Gaussian pyramid level and its associated Laplacian pyramid level

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