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Littérature scientifique sur le sujet « 3D Body Modeling »

Auteur : Grafiati
Publié le 6 juin 2025
Mis à jour le 15 juin 2025

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Articles de revues sur le sujet "3D Body Modeling"

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Tyson, Stephen, and Joost Herweijer. "Knowledge management and 3D modelling: overview and application to iterative 3D modelling workflows." APPEA Journal 51, no. 2 (2011): 683. http://dx.doi.org/10.1071/aj10063.

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As 3D reservoir modeling is effectively the centre stage in many multi-disciplinary reservoir management efforts, the need for effective knowledge management is paramount to ensure: Inclusion of pre-existing knowledge is in the model, including absent (or controversial knowledge), reflected in uncertainties. A definition of a modeling process comprehensively covers the reservoirs issues identified while leading to fit for purpose results in a given imposed time span. Storage of knowledge generated and a modeling audit trail during the modeling process to ensure adequate and efficient model updates over time. Creation of a link between the integrated modeling process and the discipline processes that generate the basic data that underpin the model Current 3D modelling methods and tools allow for creation of models and storing model specific workflows (i.e. software related parameters and processing chains). In addition, various efforts are undertaken to store modelling best practice, which typically entails general know-how about creating models. During a specific 3D modelling project, however, a considerable body of knowledge is generated about what and what not makes the model work for a given reservoir. Such knowledge, which are essential for systematic uncertainty assessment during an existing modelling effort or subsequent modelling efforts, needs to be managed in order to retain its relevance. This extended abstract focuses on application of knowledge management in the EP industry, particularly on how process or workflow-based knowledge management approaches add value in the context of 3D modeling projects for multidisciplinary reservoir management.
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Liu, Kaixuan, Jianping Wang, Chun Zhu, et al. "A mixed human body modeling method based on 3D body scanning for clothing industry." International Journal of Clothing Science and Technology 29, no. 5 (2017): 673–85. http://dx.doi.org/10.1108/ijcst-10-2016-0115.

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Purpose The purpose of this paper is to propose a relatively simple and rapid method to create a digital human model (DHM) to serve clothing industry. Design/methodology/approach Human body’s point cloud is divided into hands, foots, head and torso. Then forward modeling method is used to model hands and foots, photo modeling method is used to model head and reverse modeling method is used to model torso. After that, hands, foots, head and torso are integrated together to get a static avatar. Next, virtual skeleton is bound to the avatar. Finally, a lifelike digital human body model is created by the mixed modeling method (MMM). Findings In allusion to the defect of the three-dimension original data of human body, this paper presented an MMM, with which we can get a realistic digital human body model with accurate body dimensions. The DHM can well meet the needs of fashion industry. Practical implications The DHM, which is got by the MMM, can be well applied in the field of virtual try on, virtual fashion design, virtual fashion show and so on. Originality/value The originality of the paper lies in the integration of forward modeling, reverse modeling and photo modeling to present a novel method of human body modeling.
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Xu, Haocan, Jituo Li, Guodong Lu, Haijin Deng, Dongliang Zhang, and Juntao Ye. "Modeling 3D human body with a smart vest." Computers & Graphics 75 (October 2018): 44–58. http://dx.doi.org/10.1016/j.cag.2018.07.005.

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Chen, Yin, Zhan Song, Weiwei Xu, Ralph R. Martin, and Zhi-Quan Cheng. "Parametric 3D modeling of a symmetric human body." Computers & Graphics 81 (June 2019): 52–60. http://dx.doi.org/10.1016/j.cag.2019.03.013.

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Yoon, Jiwon, and Eunhee Hong. "Classification of Middle-aged Women's Body Types for 3D Avatar Modeling." Korean Society of Culture and Convergence 44, no. 12 (2022): 1149–62. http://dx.doi.org/10.33645/cnc.2022.12.44.12.1149.

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This study aims to provide basic data that can be used for 3D avatar modeling by categorizing the body type of middle-aged women aged 40-59 according to their shape and analyzing their characteristics. This study was sampled with 3D body scanned data to 522 middle-aged women provided by the ‘Size Korea 8th Body Size Survey’. Factors for body type classification contained arm and lower body horizontal size, body vertical size, hip length, neck·shoulder size, torso flatness, shoulder·armpit shape, upper body shape, horizontal armpit size, upper body lateral shape, breast Size, belly size, front and back width difference, and head size. The survey was found to be body typed with development of lower body with long limbs, a flat body without curvature, development of a curved upper body, and a bent body with a belly protruding.
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Wang, Xing Zhen, and Jia Ping Yan. "A Method of Spatial Analysis of Fault Structure Based on 3D GIS." Advanced Materials Research 734-737 (August 2013): 13–16. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.13.

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3D GIS is a useful modeling tool, which can greatly improve the efficiency and accuracy of the geological modeling, meet the requirements of modeling in complicated geological area. A typical 3D geological model is composed of one or a plurality of stratum, structure, fault etc. In this paper, we divide geological body into blocks, determinate each levels block boundary, build single block model, couple them up in 3D space. Combining with variation characteristics of 3D geological body, by manual interpretation or second derivative method, we get their distribution characteristics of fault unconfirmed by drilling. Through 3D GIS visualization and space analysis, we can not only be facilitate to manage drilling data and visualize underground geological body, but also analyze fault characteristics from a real angle, confirm their boundary, get ore body distribution characteristics, and provide credible digital model for ore grade analysis.
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Wang, Xiao Gang, Xin Zhan Li, and Yue Li. "A Novel Modeling Method Based on Telmat Laser Scanning System." Applied Mechanics and Materials 55-57 (May 2011): 1079–84. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1079.

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Though 3D body scanning system is most developed system for achieving body data, there are some scanning dead angles when body is scanned. Based on the scanning file produced by Telmat 3D body scanner, the structure of scanning file was introduced and model algorithm was analyzed. Holes in model were produced because of scanning dead angles, where were on the side of arms, on the side of legs, on the side of upper body, in the side of arms and in the side of legs. A 3D system was developed to automatically read the scanning file and reconstruct body model in it. At the same time holes can be automatic identified and repaired by this system. Then the model repaired was compared to the initial model produced by Telmat system and to confirm the integrality. The algorithm of program is fit to 3D scanning file from all kinds of body scanner system, which holes were produced. The automatic system perfected 3D scanning system and overcome the difficulty produced by the hardware in scanning system.
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YANG, JIA, CHEE KOOI CHAN, and AMEERSING LUXIMON. "A SURVEY ON 3D HUMAN BODY MODELING FOR INTERACTIVE FASHION DESIGN." International Journal of Image and Graphics 13, no. 04 (2013): 1350021. http://dx.doi.org/10.1142/s0219467813500216.

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With the advancement in computer technology, the use of 3D virtual mannequin has mostly replaced the use of physical mannequin in the fashion industry. This paper reviews current interaction frameworks of 3D human body modeling for interactive fashion design and an optimized interaction framework is provided. Four methods are used in this study to collect the human body data to create the 3D body model: photograph-based method, laser scan method, feature curve method and combined method. The crafted garment modeling could be used for garment fitting and 2D pattern flattening.
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Elbrecht, Pirjo, Jaak Henno, and Knut Joosep Palm. "Body Measurements Extraction from 3D Scanner Data." Applied Mechanics and Materials 339 (July 2013): 372–77. http://dx.doi.org/10.4028/www.scientific.net/amm.339.372.

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The growing power of computing, development of methods of 3D graphics for human body modeling and simulation together with development of 3D image capture technologies using 3D scanners has caused rapid development of digital tailoring - a complex of methods where made-to-measure clothing is produced starting with 3D scanning of a customer, extraction of essential measurements from obtained data cloud and then automatic production of a garment corresponding to exact measures of the customer. Extraction of exact measures from the ca 200000 data points produced by 3D scanner is a complex problem and not yet well investigated.
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Kim, Jion, Yan Li, and Byeong-Seok Shin. "Volumetric Imitation Generative Adversarial Networks for Anatomical Human Body Modeling." Bioengineering 11, no. 2 (2024): 163. http://dx.doi.org/10.3390/bioengineering11020163.

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Volumetric representation is a technique used to express 3D objects in various fields, such as medical applications. On the other hand, tomography images for reconstructing volumetric data have limited utilization because they contain personal information. Existing GAN-based medical image generation techniques can produce virtual tomographic images for volume reconstruction while preserving the patient’s privacy. Nevertheless, these images often do not consider vertical correlations between the adjacent slices, leading to erroneous results in 3D reconstruction. Furthermore, while volume generation techniques have been introduced, they often focus on surface modeling, making it challenging to represent the internal anatomical features accurately. This paper proposes volumetric imitation GAN (VI-GAN), which imitates a human anatomical model to generate volumetric data. The primary goal of this model is to capture the attributes and 3D structure, including the external shape, internal slices, and the relationship between the vertical slices of the human anatomical model. The proposed network consists of a generator for feature extraction and up-sampling based on a 3D U-Net and ResNet structure and a 3D-convolution-based LFFB (local feature fusion block). In addition, a discriminator utilizes 3D convolution to evaluate the authenticity of the generated volume compared to the ground truth. VI-GAN also devises reconstruction loss, including feature and similarity losses, to converge the generated volumetric data into a human anatomical model. In this experiment, the CT data of 234 people were used to assess the reliability of the results. When using volume evaluation metrics to measure similarity, VI-GAN generated a volume that realistically represented the human anatomical model compared to existing volume generation methods.
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Thèses sur le sujet "3D Body Modeling"

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Zhang, Qing. "HIGH QUALITY HUMAN 3D BODY MODELING, TRACKING AND APPLICATION." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/39.

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Geometric reconstruction of dynamic objects is a fundamental task of computer vision and graphics, and modeling human body of high fidelity is considered to be a core of this problem. Traditional human shape and motion capture techniques require an array of surrounding cameras or subjects wear reflective markers, resulting in a limitation of working space and portability. In this dissertation, a complete process is designed from geometric modeling detailed 3D human full body and capturing shape dynamics over time using a flexible setup to guiding clothes/person re-targeting with such data-driven models. As the mechanical movement of human body can be considered as an articulate motion, which is easy to guide the skin animation but has difficulties in the reverse process to find parameters from images without manual intervention, we present a novel parametric model, GMM-BlendSCAPE, jointly taking both linear skinning model and the prior art of BlendSCAPE (Blend Shape Completion and Animation for PEople) into consideration and develop a Gaussian Mixture Model (GMM) to infer both body shape and pose from incomplete observations. We show the increased accuracy of joints and skin surface estimation using our model compared to the skeleton based motion tracking. To model the detailed body, we start with capturing high-quality partial 3D scans by using a single-view commercial depth camera. Based on GMM-BlendSCAPE, we can then reconstruct multiple complete static models of large pose difference via our novel non-rigid registration algorithm. With vertex correspondences established, these models can be further converted into a personalized drivable template and used for robust pose tracking in a similar GMM framework. Moreover, we design a general purpose real-time non-rigid deformation algorithm to accelerate this registration. Last but not least, we demonstrate a novel virtual clothes try-on application based on our personalized model utilizing both image and depth cues to synthesize and re-target clothes for single-view videos of different people.
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Bogo, Federica. "From scans to models: Registration of 3D human shapes exploiting texture information." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424263.

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New scanning technologies are increasing the importance of 3D mesh data, and of algorithms that can reliably register meshes obtained from multiple scans. Surface registration is important e.g. for building full 3D models from partial scans, identifying and tracking objects in a 3D scene, creating statistical shape models. Human body registration is particularly important for many applications, ranging from biomedicine and robotics to the production of movies and video games; but obtaining accurate and reliable registrations is challenging, given the articulated, non-rigidly deformable structure of the human body. In this thesis, we tackle the problem of 3D human body registration. We start by analyzing the current state of the art, and find that: a) most registration techniques rely only on geometric information, which is ambiguous on flat surface areas; b) there is a lack of adequate datasets and benchmarks in the field. We address both issues. Our contribution is threefold. First, we present a model-based registration technique for human meshes that combines geometry and surface texture information to provide highly accurate mesh-to-mesh correspondences. Our approach estimates scene lighting and surface albedo, and uses the albedo to construct a high-resolution textured 3D body model that is brought into registration with multi-camera image data using a robust matching term. Second, by leveraging our technique, we present FAUST (Fine Alignment Using Scan Texture), a novel dataset collecting 300 high-resolution scans of 10 people in a wide range of poses. FAUST is the first dataset providing both real scans and automatically computed, reliable ground-truth correspondences between them. Third, we explore possible uses of our approach in dermatology. By combining our registration technique with a melanocytic lesion segmentation algorithm, we propose a system that automatically detects new or evolving lesions over almost the entire body surface, thus helping dermatologists identify potential melanomas. We conclude this thesis investigating the benefits of using texture information to establish frame-to-frame correspondences in dynamic monocular sequences captured with consumer depth cameras. We outline a novel approach to reconstruct realistic body shape and appearance models from dynamic human performances, and show preliminary results on challenging sequences captured with a Kinect.<br>Lo sviluppo di nuove tecnologie di scansione sta accrescendo l'importanza dei dati tridimensionali (3D), e la necessita' di algoritmi di registrazione adeguati per essi. Registrare accuratamente superfici 3D e' importante per identificare oggetti ed effettuarne il tracking, costruire modelli completi a partire da scansioni parziali, creare modelli statistici. La registrazione di scansioni 3D del corpo umano e' fondamentale in molte applicazioni, dal campo biomedico a quello della produzione di film e videogiochi; ottenere registrazioni accurate e affidabili e' pero' difficile, poiche' il corpo umano e' articolato, e si deforma in maniera non rigida. In questa tesi, affrontiamo il problema della registrazione di scansioni 3D del corpo umano. Iniziamo la nostra analisi considerando lo stato dell'arte, e rilevando che: a) la maggior parte delle tecniche di registrazione 3D usa solo informazione geometrica, che e' ambigua in zone in cui le superfici sono lisce; b) c'e' una mancanza di adeguati dataset e benchmark nel settore. L'obiettivo di questa tesi e' quello di risolvere questi problemi. In particolare, portiamo tre contributi. Primo, proponiamo una nuova tecnica di registrazione per scansioni 3D del corpo umano che integra informazione geometrica con informazione cromatica di superficie. La nostra tecnica dapprima stima l'illuminazione nella scena, in modo da fattorizzare il colore della superficie osservata in effetti di luce e pura albedo; l'albedo estratta viene quindi usata per creare un modello 3D del corpo ad alta risoluzione. Tale modello viene allineato a una serie di immagini 2D, acquisite simultaneamente alle scansioni 3D, usando una funzione di matching robusta. Secondo, sulla base delle registrazioni prodotte dalla nostra tecnica, proponiamo un nuovo dataset per algoritmi di registrazione 3D, FAUST (Fine Alignment Using Scan Texture). FAUST colleziona 300 scansioni 3D relative a 10 soggetti in differenti pose. E' il primo dataset che fornisce sia scansioni reali, sia registrazioni accurate e affidabili ("ground truth") per esse. Terzo, esploriamo possibili usi del nostro approccio in dermatologia. Combinando la nostra tecnica di registrazione con un algoritmo di segmentazione per lesioni melanocitiche, proponiamo un sistema di screening in grado di rilevare l'insorgenza di nuove lesioni o modifiche in lesioni preesistenti su quasi tutta la superficie cutanea; tale sistema e' di aiuto per i dermatologi nell'individuazione di potenziali melanomi. Concludiamo questa tesi esaminando l'importanza di usare informazione cromatica per registrare scansioni 3D acquisite in sequenze dinamiche. In particolare, proponiamo un nuovo approccio per ottenere modelli 3D realistici e completi del corpo umano a partire da sequenze acquisite con un singolo Kinect.
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Xu, Siyuan. "A Natural User Interface for Virtual Object Modeling for Immersive Gaming." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/1048.

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" We designed an interactive 3D user interface system to perform object modeling in virtual environments. Expanding on existing 3D user interface techniques, we integrate low-cost human gesture recognition that endows the user with powerful abilities to perform complex virtual object modeling tasks in an immersive game setting. Much research has been done to explore the possibilities of developing biosensors for Virtual Reality (VR) use. In the game industry, even though full body interaction techniques are involved in modern game consoles, most of the utilizations, in terms of game control, are still simple. In this project, we extended the use of motion tracking and gesture recognition techniques to create a new 3D UI system to support immersive gaming. We set a goal for the usability, which is virtual object modeling, and finally developed a game application to test its performance. "
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Dekker, Laura Daye. "3D human body modelling from range data." Thesis, University College London (University of London), 2000. http://discovery.ucl.ac.uk/1363354/.

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This thesis describes the design, implementation and application of an integrated and fully automated system for interpreting whole-body range data. The system is shown to be capable of generating complete surface models of human bodies, and robustly extracting anatomical features for anthropometry, with minimal intrusion on the subject. The ability to automate this process has enormous potential for personalised digital models in medicine, ergonomics, design and manufacture and for populating virtual environments. The techniques developed within this thesis now form the basis of a commercial product. However, the technical difficulties are considerable. Human bodies are highly varied and many of the features of interest are extremely subtle. The underlying range data is typically noisy and is sparse at occluded areas. In addressing these problems this thesis makes five main research contributions. Firstly, the thesis describes the design, implementation and testing of the whole integrated and automated system from scratch, starting at the image capture hardware. At each stage the tradeoffs between performance criteria are discussed, and experiments are described to test the processes developed. Secondly, a combined data-driven and model-based approach is described and implemented, for surface reconstruction from the raw data. This method addresses the whole body surface, including areas where body segments touch, and other occluded areas. The third contribution is a library of operators, designed specifically for shape description and measurement of the human body. The library provides high-level relational attributes, an "electronic tape measure" to extract linear and curvilinear measurements,as well as low-level shape information, such as curvature. Application of the library is demonstrated by building a large set of detectors to find anthropometric features, based on the ISO 8559 specification. Output is compared against traditional manual measurements and a detailed analysis is presented. The discrepancy between these sets of data is only a few per cent on most dimensions, and the system's reproducibility is shown to be similar to that of skilled manual measurers. The final contribution is that the mesh models and anthropometric features, produced by the system, have been used as a starting point to facilitate other research, Such as registration of multiple body images,draping clothing and advanced surface modelling techniques.
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Yassin, Nihad Jaro. "Application of parametric and solid modelling techniques to human body simulations." Thesis, Heriot-Watt University, 1992. http://hdl.handle.net/10399/1384.

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Vyas, Keyur. "Modelling of 3D anisotropic turbulent flow in compound channels." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/7976.

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The present research focuses on the development and computer implementation of a novel threedimensional, anisotropic turbulence model not only capable of handling complex geometries but also the turbulence driven secondary currents. The model equations comprise advanced algebraic Reynolds stress models in conjunction with Reynolds Averaged Navier-Stokes equations. In order to tackle the complex geometry of compound meandering channels, the body-fitted orthogonal coordinate system is used. The finite volume method with collocated arrangement of variables is used for discretization of the governing equations. Pressurevelocity coupling is achieved by the standard iterative SIMPLE algorithm. A central differencing scheme and upwind differencing scheme are implemented for approximation of diffusive and convective fluxes on the control volume faces respectively. A set of algebraic equations, derived after discretization, are solved with help of Stones implicit matrix solver. The model is validated against standard benchmarks on simple and compound straight channels. For the case of compound meandering channels with varying sinuosity and floodplain height, the model results are compared with the published experimental data. It is found that the present method is able to predict the mean velocity distribution, pressure and secondary flow circulations with reasonably good accuracy. In terms of engineering applications, the model is also tested to understand the importance of turbulence driven secondary currents in slightly curved channel. The development of this unique model has opened many avenues of future research such as flood risk management, the effects of trees near the bank on the flow mechanisms and prediction of pollutant transport.
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Elanattil, Shafeeq. "Non-rigid 3D reconstruction of the human body in motion." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205095/1/Shafeeq_Elanattil_Thesis.pdf.

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This thesis addresses the challenging problem of three-dimensional (3-D) reconstruction of a fast-moving human, using a single moving camera which captures both depth and colour information (RGB-D). Our objective is to find solutions to the challenges arising from the high camera motion and articulated human motions. We have developed an effective system which uses the camera pose, skeleton detection, and multi-scale information, to produce a robust reconstruction framework for 3-D modelling of fast-moving humans. The outcome of the research is useful for several applications of human performance capture systems in sports, the arts, and animation industries.
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Chi, Cheng. "Personalized pattern recommendation system of men’s shirts based on precise body measurement." Electronic Thesis or Diss., Centrale Lille Institut, 2022. http://www.theses.fr/2022CLIL0003.

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Les systèmes commerciaux de recommandation de vêtements ont été largement utilisés dans l'industrie de l'habillement. Cependant, les recherches existantes sur la conception de vêtements numériques se sont concentrées sur les évolutions techniques du processus de conception virtuelle, avec peu de retours de métier provenant des designers. La coupe d'un vêtement joue un rôle important dans l'achat de celui-ci par le client. Afin de développer un vêtement correctement ajusté, les stylistes et les modélistes doivent ajuster le patron du vêtement plusieurs fois jusqu'à ce que le client soit satisfait. Actuellement, le modélisme traditionnel présente trois inconvénients majeurs : 1) il est très long et inefficace, 2) il repose trop sur des concepteurs expérimentés, 3) la relation entre la forme du corps humain et le vêtement n'est pas pleinement explorée. Dans la pratique, le styliste joue un rôle clé dans la réussite du processus de conception. Il est nécessaire d'intégrer les connaissances et l'expérience du styliste dans les systèmes actuels de CAD de vêtements afin de fournir rapidement une solution de conception réalisable, centrée sur l'homme et à faible coût, pour chaque besoin personnalisé. En outre, les services basés sur les données, tels que les systèmes de recommandation, la classification des formes corporelles, la modélisation du corps en 3D et l'évaluation de l'ajustement des vêtements, devraient être intégrés dans le système de CAD de l'habillement afin d'améliorer l'efficacité du processus de conception.Sur la base de ces besoins, cette thèse propose un système de recommandation intelligent composé de modèles de vêtements ajustables pour conduire à la conception de vêtements personnalisés. Le système fonctionne en combinaison avec un nouveau processus de conception nouvellement développé, à savoir l'identification de la forme du corps humain - la recommandation d'une solution de conception - la représentation virtuelle 3D et l'évaluation - l'ajustement des paramètres de conception. Ce processus peut être répété jusqu'à ce que l'utilisateur soit satisfait. Le système de recommandation proposé a été validé par quelques cas pratiques de conception réussis<br>Commercial garment recommendation systems have been widely used in the apparel industry. However, existing research on digital garment design has focused on the technical development of the virtual design process, with little knowledge of traditional designers. The fit of a garment plays a significant role in whether a customer purchases that garment. In order to develop a well-fitting garment, designers and pattern makers should adjust the garment pattern several times until the customer is satisfied. Currently, there are three main disadvantages of traditional pattern-making: 1) it is very time-consuming and inefficient, 2) it relies too much on experienced designers, 3) the relationship between the human body shape and the garment is not fully explored. In practice, the designer plays a key role in a successful design process. There is a need to integrate the designer's knowledge and experience into current garment CAD systems to provide a feasible human-centered, low-cost design solution quickly for each personalized requirement. Also, data-based services such as recommendation systems, body shape classification, 3D body modelling, and garment fit assessment should be integrated into the apparel CAD system to improve the efficiency of the design process.Based on the above issues, in this thesis, a fit-oriented garment pattern intelligent recommendation system is proposed for supporting the design of personalized garment products. The system works in combination with a newly developed design process, i.e. body shape identification - design solution recommendation - 3D virtual presentation and evaluation - design parameter adjustment. This process can be repeated until the user is satisfied. The proposed recommendation system has been validated by some successful practical design cases
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Rius, Ferrer Ignasi. "Motion Priors for Efficient Bayesian Tracking In Iluman Sequence Evaluation." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/5798.

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La reconstrucció del moviment huma mitjançant l'analisi visual és una area de recerca de la visió per computador plena de reptes amb moltes aplicacions potencials. Els enfocs de seguiment basat en models, i en particular els fltres de partícules, formulen el problema com una tasca d'inferencia Bayesiana l'objectiu de la qual és estimar seqüencialment la distribució sobre els parametres d'un model del cos huma al llarg del temps. Aquests enfocs depenen en gran mesuta d'emprar bons models dinamics i d'observació per tal de predir i actualitzar les confguracions del cos huma en base a mesures extretes de les dades d'imatge. No obstant, resulta molt difícil dissenyar models d'observació, i en especial pel cas de seguiment a partir d'una sola vista, que siguin capaços d'extreure informació útil de les seqüencies d'imatges de manera robusta. Per tant, per tal de superar aquestes limitacions és necessari emprar un fort coneixement a priori sobre el moviment huma i guiar així l'exploració de l'espai d'estats. <br/>El treball presentat en aquesta Tesis esta enfocat a recuperar els parametres de moviment 3D d'un model del cos huma a partir de mesures incompletes i sorolloses d'una seqüencia d'imatges monocular. Aquestes mesures consisteixen en les posicions 2D d'un conjunt redult d'articulacions en el pla d'imatge. Amb aquesta fnalitat, proposem un nou model de moviment huma específc per cada acció, que és entrenat a partir de bases de dades de captures de moviment que contenen varies execucions d'una acció en particular, i que és utilitzat com a coneixement a priori en un esquema de fltratge de partícules. <br/>Les postures del cos es representen emprant un model articulat simple i compacte que fa ús dels cosinus directors per tal de representar la direcció de les parts del cos en l'espai Cartesia 3D. Llavors, donada una acció, s'aplica l'Analisis de Components Principals (PCA) sobre les dades d'entrenament per tal d'aplicar reducció de dimensionalitat sobre les dades d'entrada altament correlacionades. Previament al pas d'entrenament del model d'acció, les seqüencies de moviment d'entrada són sincronitzades mitjançant un nou algoritme d'adaptació dens basat en Programació Dinamica. L'algoritme sincronitza totes les seqüencies de moviment d'una mateixa classe d'acció i és capa¡ de trobar una solució óptima en temps real. <br/>Aleshores, s'apren un model d'acció probabilístic a partir dels exemples de movi¬ment sincronitzats que captura la variabilitat i l'evolució temporal del moviment del cos sencer durant una acció concreta. En particular, per cada acció, els parametres apresos són: una varietat representativa de l'acció que consisteix en l'execució mitjana de la mateixa, la desviació estandard de l'execució mitjana, els vectors de direcció mitjans de cada subseqüencia de moviment d'una llargada donada i l'error esperat en un instant de temps donat. <br/>A continuació, s'utilitza el model específc per cada acció com a coneixement a priori sobre moviment huma que millora l'efciencia i robustesa de tot l'enfoc de seguiment basat en fltratge de partícules. En primer lloc, el model dinamic guia les partícules segons situacions similars apreses previament. A continuació, es restringeix l'espai d'estats per tal que tan sols les postures humanes més factibles siguin acceptades com a solucions valides a cada instant de temps. En conseqüencia, l'espai d'estats és explorat de manera més efcient ja que el conjunt de partícules cobreix les postures del cos més probables. <br/>Finalment, es duen a terme experiments emprant seqüencies de test de varies bases de dades. Els resultats assenyalen que el nostre esquema de seguiment és capa d'estimar la confguració 3D aproximada d'un model de cos sencer, a partir tan sols de les posicions 2D d'un conjunt redult d'articulacions. També s'inclouen proves separades sobre el metode de sincronització de seqüencies i de la tecnica de comparació probabilística de les subseqüencies de moviment.<br>Recovering human motion by visual analysis is a challenging computer vision research area with a lot of potential applications. Model based tracking approaches, and in particular particle flters, formulate the problem as a Bayesian inference task whose aim is to sequentially estimate the distribution of the parameters of a human body model over time. These approaches strongly rely on good dynamical and observation models to predict and update confgurations of the human body according to mea surements from the image data. However, it is very difcult to design observation models which extract useful and reliable information from image sequences robustly. This results specially challenging in monocular tracking given that only one viewpoint from the scene is available. Therefore, to overcome these limitations strong motion priors are needed to guide the exploration of the state space. <br/>The work presented in this Thesis is aimed to retrieve the 3D motion parameters of a human body model from incomplete and noisy measurements of a monocular image sequence. These measurements consist of the 2D positions of a reduced set of joints in the image plane. Towards this end, we present a novel action specifc model of human motion which is trained from several databases of real motion captured performances of an action, and is used as a priori knowledge within a particle fltering scheme. <br/>Body postures are represented by means of a simple and compact stick fgure model which uses direction cosines to represent the direction of body limbs in the 3D Cartesian space. Then, for a given action, Principal Component Analysis is applied to the training data to perform dimensionality reduction over the highly correlated input data. Before the learning stage of the action model, the input motion performances are synchronized by means of a novel dense matching algorithm based on Dynamic Programming. The algorithm synchronizes all the motion sequences of the same action class, fnding an optimal solution in real time. <br/>Then, a probabilistic action model is learnt, based on the synchronized motion examples, which captures the variability and temporal evolution of full body motion within a specifc action. In particular, for each action, the parameters learnt are: a representative manifold for the action consisting of its mean performance, the stan dard deviation from the mean performance, the mean observed direction vectors from each motion subsequence of a given length and the expected error at a given time instant. <br/>Subsequently, the action specifc model is used as a priori knowledge on human motion which improves the efciency and robustness of the overall particle fltering tracking framework. First, the dynamic model guides the particles according to similar situations previously learnt. Then, the state space is constrained so only feasible human postures are accepted as valid solutions at each time step. As a result, the state space is explored more efciently as the particle set covers the most probable body postures. <br/>Finally, experiments are carried out using test sequences from several motion databases. Results point out that our tracker scheme is able to estimate the rough 3D confguration of a full body model providing only the 2D positions of a reduced set of joints. Separate tests on the sequence synchronization method and the subsequence probabilistic matching technique are also provided. <br/>Keywords: Human Motion Modeling; Particle fltering; Monocular Full Body 3D Tracking. <br/>Topics: Image Processing; Computer Vision; Scene Understanding; Machine Intelligence; Machine Vision Applications; Video-Sequence Evaluation
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Tecklenburg, Gerhard. "Design of body assemblies with distributed tasks under the support of parametric associative design (PAD)." Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/5809.

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This investigation identifies how CAD models of typical automotive body assemblies could be defined to allow a continuous optimisation of the number of iterations required for the final design and the number of variants on the basis of Parametric Associative Design (PAD) and how methodologies for the development of surfaces, parts and assemblies of the automotive body can be represented and structured for a multiple re-use in a collaborative environment of concept phase of a Product Evolution (Formation) Process (PEP). The standardisation of optimised processes and methodologies and the enhanced interaction between all parties involved in product development could lead to improve product quality and reduce development time and hence expenses. The fundamental principles of PAD, the particular methodologies used in automotive body design and the principles of methodical development and design in general are investigated. The role which automotive body engineers play throughout the activities of the PEP is also investigated. The distribution of design work in concept teams of automotive body development and important methodologies for the design of prismatic profile areas is critically analysed. To address the role and distribution of work, 25 group work projects were carried out in cooperation with the automotive industry. Large assemblies of the automotive bodies were developed. The requirements for distributed design work have been identified and improved. The results of the investigation point towards a file based, well structured administration of a concept design, with a zone based approach. The investigation was extended to the process chain of sections, which are used for development of surfaces, parts and assemblies. Important methods were developed, optimised and validated with regard to an update safe re-use of 3D zone based CAD models instead of 2D sections. The thesis presents a thorough description of the research undertaken, details the experimental results and provides a comprehensive analysis of them. Finally it proposes a unique methodology to a zone based approach with a clearly defined process chain of sections for an update-safe re-use of design models.
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Livres sur le sujet "3D Body Modeling"

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(Editor), Nikos Sarris, and Michael G. Strintzis (Editor), eds. 3D Modeling and Animation: Synthesis and Analysis Techniques for the Human Body. IRM Press, 2004.

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(Editor), Nikos Sarris, and Michael G. Strintzis (Editor), eds. 3D Modeling and Animation: : Synthesis and Analysis Techniques for the Human Body. IRM Press, 2005.

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Bitonti, Francis. 3D Printing Design. Bloomsbury Publishing Plc, 2019. http://dx.doi.org/10.5040/9781474220989.

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To work with the materials of tomorrow, design students across visual arts disciplines need to understand the cutting edge of today. Whether you’re modelling in interiors, designing in fashion or constructing for interiors, in your work or as part of a final project, 3D Printing Design is an encouraging guide to additive manufacturing within design disciplines. Francis Bitonti gives an insider’s view from his design studio on how 3D printing is already shaking up the industry, and where it’s likely to go next. Complete with interviews from designers, business owners and 3D-print experts throughout, Bitonti considers whether 3D body scans mean couture for all, how rapid prototyping can change your design method and if 3D printing materials can enhance medical design, amongst other areas of this emerging method of manufacture. This is inspirational reading for the designers of tomorrow.
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Chapitres de livres sur le sujet "3D Body Modeling"

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Shen, Yuhong, Chenming Li, and Yafei Guo. "Research on 3D Human Body Modeling." In Man-Machine-Environment System Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4882-6_7.

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Zeng, Yanhong, Jianlong Fu, and Hongyang Chao. "3D Human Body Reshaping with Anthropometric Modeling." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8530-7_10.

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Yang, Fan, Ren Li, Georgios Georgakis, et al. "Robust Multi-modal 3D Patient Body Modeling." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_9.

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Sixiang, Peng, Chan Chee-kooi, W. H. Ip, and Ameersing Luximon. "3D Parametric Body Model Based on Chinese Female Anhtropometric Analysis." In Digital Human Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21799-9_3.

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Furukawa, Takao, Jin Gu, WonSook Lee, and Nadia Magnenat-Thalmann. "3D Clothes Modeling from Photo Cloned Human Body." In Virtual Worlds. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45016-5_15.

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Gu, Jin, Terry Chang, Ivan Mak, S. Gopalsamy, H. C. Shen, and M. M. F. Yuen. "A 3D Reconstruction System for Human Body Modeling." In Modelling and Motion Capture Techniques for Virtual Environments. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49384-0_18.

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Choi, Young Lim, Yunja Nam, Kueng Mi Choi, and Ming Hai Cui. "A Method for Garment Pattern Generation by Flattening 3D Body Scan Data." In Digital Human Modeling. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73321-8_91.

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Parrilla, Eduardo, Ana-Virginia Ruescas, Juan-Antonio Solves, et al. "A Methodology to Create 3D Body Models in Motion." In Advances in Simulation and Digital Human Modeling. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51064-0_39.

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Wang, Zheng, Andre Gagalowicz, and Meijun Sun. "Low-Cost Multi-image Based 3D Human Body Modeling." In Computer Vision/Computer Graphics CollaborationTechniques. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01811-4_24.

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Rhee, Taehyun, Patrick Lui, and J. P. Lewis. "Deformable Human Body Modeling from 3D Medical Image Scans." In The Role and Importance of Mathematics in Innovation. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0962-4_13.

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Actes de conférences sur le sujet "3D Body Modeling"

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"IMAGE-BASED 3D TORSO BODY MODELING - 3D Female Body Modeling for Breast Surgery Simulation." In International Conference on Computer Graphics Theory and Applications. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001094500920098.

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Varkonyi-Koczy, R. Annamaria, Andras Rovid, and Peter Varkonyi. "Intelligent 3D Car-Body Deformation Modeling." In Second International Conference on Systems. IEEE, 2007. http://dx.doi.org/10.1109/icons.2007.32.

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Mochimaru, Masaaki, and Makiko Kouchi. "Statistics for 3D Human Body Forms." In Digital Human Modeling For Design And Engineering Conference And Exposition. SAE International, 2000. http://dx.doi.org/10.4271/2000-01-2149.

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Yamauchi, Koichiro, Bir Bhanu, and Hideo Saito. "3D Human Body Modeling Using Range Data." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.849.

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Zhang, Yufei, Hanjing Wang, Jeffrey O. Kephart, and Qiang Ji. "Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.00828.

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Suikerbuik, Rob, Hans Tangelder, Hein Daanen, and Aernout Oudenhuijzen. "Automatic Feature Detection in 3D Human Body Scans." In Digital Human Modeling for Design and Engineering Symposium. SAE International, 2004. http://dx.doi.org/10.4271/2004-01-2193.

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MARIGGIS, Ioannis, Olivier SAURER, and Petri TANSKANEN. "Body Part Modeling on the Phone." In 7th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 30 Nov.-1 Dec. 2016. Hometrica Consulting - Dr. Nicola D'Apuzzo, 2016. http://dx.doi.org/10.15221/16.214.

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Zhen, Bin, Minseok Kim, Jun-ichi Takada, and Ryuji Kohno. "Characterization and modeling of dynamic on-body propagation." In 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. ICST, 2009. http://dx.doi.org/10.4108/icst.pervasivehealth2009.5945.

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Zhang, Guanglin, Jiping Li, Jianjun Peng, Hao Pang, and Xulun Jiao. "3D human body modeling based on single Kinect." In 2014 7th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2014. http://dx.doi.org/10.1109/bmei.2014.7002751.

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Iovandragomir, Alina, and Alexandra Bodoga. "3D MODELING FOR LEATHERGOODS." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-160.

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Leather good products are intended to complete the outfit having an important aesthetic but also functional attributes. A distinct category of leather goods is represented by those products that are attached to the body. The positioning of these products in relation to the body involves a lot of design restrictions. One of the most significant restrictions is the ability not to affect the freedom of movement of the wearer. 3D modelling can be used for a good visualization of the model, on one hand, and adjusted it on different parts of the human body, on the other hand. Any product can be 3D modeled using specialized software and modeling techniques for video games. This paper presents the 3D modeling stages of a bum bag using modeling techniques for video games. The steps presented for creating the product in 3D represents a general "workflow". In order to complete the object, in working mode, multiple transition will be made from one program to another following specific steps for completion. They are used in different areas such as movies, games or 3D printers for toys. The program used are Zbrush &gt; RizomUV &gt; AutodeskMaya &gt; SubstancePainter &gt; Marmoset ToolBag3. In order to transform from 3D to 2D and pattern making was used MarvelousDesigner9 program. Using these programs can lead to student attractiveness and a better understanding of the steps of creating a leather good product. The objective of the paper was to present a creative and attractive way for students to improve their learning experience.
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Rapports d'organisations sur le sujet "3D Body Modeling"

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Mamp, Michael, and Alexis Quinney. Body Scans as Base Geometry for 3D Modeling and Printing. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1898.

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