Relevant bibliographies by topics / 3D body modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic '3D body modelling'

Author: Grafiati
Published: 16 March 2023

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Journal articles on the topic "3D body modelling"

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Arlt, Frank, and Amin Marach. "CAD modelling of a human 3D child body." International Journal of Industrial Ergonomics 22, no. 4-5 (November 1998): 333–41. http://dx.doi.org/10.1016/s0169-8141(97)00086-3.

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Špelić, Ivana, and Slavenka Petrak. "Complexity of 3D human body scan data modelling." TEKSTILEC 61, no. 4 (December 17, 2018): 235–44. http://dx.doi.org/10.14502/tekstilec2018.61.235-244.

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Milosevic, Paula, and Slavica Bogovic. "3D technologies in individualized chest protector modelling." Textile & Leather Review 1, no. 2 (September 2018): 46–55. http://dx.doi.org/10.31881/tlr.2018.vol1.iss2.p46-55.a6.

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The application of 3D technology increases every day by discovering new ways of usage, which can make everyday life easier. It is most used in production of individualized items that become more accessible and fully customized to personal needs. 3D technologies such as 3D scanning, 3D modelling and additive technologies (3D printing) are used in various areas of human activity such as medicine, architecture, the movie industry, etc. In the clothing’s industry, 3D scanning the human body is digitized, which is after that used in computer software packages for custom-made clothing. Except for the fashion industry, there is a need for individualized protective work clothing and equipment production in other industries as well. The possibility of applying new technologies such as 3D scanning and 3D modelling of protective elements that can be made by using 3D printers is presented in this paper. In order to design a field hockey chest protector, male and female subjects were scanned using a 3D body scanner in several different positions specific to the sport. The chest protector was constructed and modeled based on the digitalized images. Software packages were used which enable point clouds preparation of the digitalized human body for constructing the protector, its modelling and preparation of virtually designed protectors for 3D printing. An individualized chest protector is modeled using a software program called Bender. The protector is integrated into the clothing item, completely follows the body shape and provides the necessary protection.
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Gu, Bingfei, Md Kawysar Ahmed, Zejun Zhong, and Juanfeng Jin. "3D female upper body modelling based on 2D images." International Journal of Clothing Science and Technology 32, no. 4 (January 8, 2020): 471–82. http://dx.doi.org/10.1108/ijcst-03-2019-0042.

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Purpose With the rapid advancement of computer information technology, the traditional clothing industry has stridden towards automation and digitization that drive the growth of electronic commerce and line retailing. The purpose of this paper is to propose an approach on 3D upper body modelling based on the body measurements extracted by non-contact anthropometry. Design/methodology/approach Based on the frontal and side images of the human body, the body sizes were extracted through silhouette extraction, identification of landmarks and girth prediction. The generation rules of 15 characteristic cross-sectional curves were established using a method “feature points – inserted points – feature curves – basic surface – mannequin”. The feature points of each position were determined at each curve, such as the side neck point, front neck point, shoulder point, bust point, and bust root point and so on to get the cross-sections, and then some feature points were inserted at the curves according to the widths and depths to establish the calculative models. For example, there are 18 points distributed at the bust cross-sectional curve to determine the shape. Findings The final mannequin could describe the basic characteristics of a human body, and the shape of the feature curves could also fit the body type to provide basis for the future research on automatic pattern generation. Originality/value This study can realize the 3D virtual modelling of female upper body and the automatic generation of the individualized apparel patterns based on the frontal and side images.
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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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Markiewicz, P. J., M. Tamal, P. J. Julyan, D. L. Hastings, and A. J. Reader. "High accuracy multiple scatter modelling for 3D whole body PET." Physics in Medicine and Biology 52, no. 3 (January 16, 2007): 829–47. http://dx.doi.org/10.1088/0031-9155/52/3/021.

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Thelwell, Michael, Alice Bullas, Andreas Kühnapfel, John Hart, Peter Ahnert, Jon Wheat, Markus Loeffler, Markus Scholz, and Simon Choppin. "Modelling of human torso shape variation inferred by geometric morphometrics." PLOS ONE 17, no. 3 (March 10, 2022): e0265255. http://dx.doi.org/10.1371/journal.pone.0265255.

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Traditional body measurement techniques are commonly used to assess physical health; however, these approaches do not fully represent the complex shape of the human body. Three-dimensional (3D) imaging systems capture rich point cloud data that provides a representation of the surface of 3D objects and have been shown to be a potential anthropometric tool for use within health applications. Previous studies utilising 3D imaging have only assessed body shape based on combinations and relative proportions of traditional body measures, such as lengths, widths and girths. Geometric morphometrics (GM) is an established framework used for the statistical analysis of biological shape variation. These methods quantify biological shape variation after the effects of non-shape variation–location, rotation and scale–have been mathematically held constant, otherwise known as the Procrustes paradigm. The aim of this study was to determine whether shape measures, identified using geometric morphometrics, can provide additional information about the complexity of human morphology and underlying mass distribution compared to traditional body measures. Scale-invariant features of torso shape were extracted from 3D imaging data of 9,209 participants form the LIFE-Adult study. Partial least squares regression (PLSR) models were created to determine the extent to which variations in human torso shape are explained by existing techniques. The results of this investigation suggest that linear combinations of body measures can explain 49.92% and 47.46% of the total variation in male and female body shape features, respectively. However, there are also significant amounts of variation in human morphology which cannot be identified by current methods. These results indicate that Geometric morphometric methods can identify measures of human body shape which provide complementary information about the human body. The aim of future studies will be to investigate the utility of these measures in clinical epidemiology and the assessment of health risk.
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Rudolf, A., Z. Stjepanović, and A. Cupar. "DESIGN OF GARMENTS USING ADAPTABLE DIGITAL BODY MODELS." TEXTEH Proceedings 2021 (October 22, 2021): 9–17. http://dx.doi.org/10.35530/tt.2021.09.

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In recent years, the 3D design software has been mostly used to improve the garment design process by generating virtual 3D garment prototypes. Many researchers have been working on the development of 3D virtual garment prototypes using 3D body models and involving the 3D human body scanning in different postures. The focus of research in this field today relies on generating a kinematic 3D body model for the purposes of developing the individualized garments, the exploration of which is presented in this paper. The discussed area is also implemented in the Erasmus+ project OptimTex - Software tools for textile creatives, which is fully aligned with the new trends propelled by the digitization of the whole textile sector. The Slovenian module focuses on presenting the needs of digitization for the development of individualized garments by using different software tools: 3D Sense, PotPlayer, Meshroom, MeshLab, Blender and OptiTex. The module provides four examples: 3D human body scanning using 3D photogrammetry, 3D human body modelling and reconstruction, construction of a kinematic 3D body model and 3D virtual prototyping of individualized smart garments, and thus displays the entire process for the needs of 3D virtual prototyping of individualized garments. In the OptimTex project, the 3D software Blender was used to demonstrate and teach students how to construct the "armature" of the human body as an object for rigging or the virtual skeleton for a 3D kinematic body model, using the knee as an example.
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Gou, J., W. Zhou, and L. Wu. "IMPLICIT THREE-DIMENSIONAL GEO-MODELLING BASED ON HRBF SURFACE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W2 (October 5, 2016): 63–66. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w2-63-2016.

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Three-dimensional (3D) geological models are important representations of the results of regional geological surveys. However, the process of constructing 3D geological models from two-dimensional (2D) geological elements remains difficult and time-consuming. This paper proposes a method of migrating from 2D elements to 3D models. First, the geological interfaces were constructed using the Hermite Radial Basis Function (HRBF) to interpolate the boundaries and attitude data. Then, the subsurface geological bodies were extracted from the spatial map area using the Boolean method between the HRBF surface and the fundamental body. Finally, the top surfaces of the geological bodies were constructed by coupling the geological boundaries to digital elevation models. Based on this workflow, a prototype system was developed, and typical geological structures (e.g., folds, faults, and strata) were simulated. Geological modes were constructed through this workflow based on realistic regional geological survey data. For extended applications in 3D modelling of other kinds of geo-objects, mining ore body models and urban geotechnical engineering stratum models were constructed by this method from drill-hole data. The model construction process was rapid, and the resulting models accorded with the constraints of the original data.
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Kudzia, Pawel, Erika Jackson, and Genevieve Dumas. "Estimating body segment parameters from three-dimensional human body scans." PLOS ONE 17, no. 1 (January 5, 2022): e0262296. http://dx.doi.org/10.1371/journal.pone.0262296.

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Body segment parameters are inputs for a range of applications. Participant-specific estimates of body segment parameters are desirable as this requires fewer prior assumptions and can reduce outcome measurement errors. Commonly used methods for estimating participant-specific body segment parameters are either expensive and out of reach (medical imaging), have many underlying assumptions (geometrical modelling) or are based on a specific subset of a population (regression models). Our objective was to develop a participant-specific 3D scanning and body segmentation method that estimates body segment parameters without any assumptions about the geometry of the body, ethnic background, and gender, is low-cost, fast, and can be readily available. Using a Microsoft Kinect Version 2 camera, we developed a 3D surface scanning protocol that enabled the estimation of participant-specific body segment parameters. To evaluate our system, we performed repeated 3D scans of 21 healthy participants (10 male, 11 female). We used open source tools to segment each body scan into 16 segments (head, torso, abdomen, pelvis, left and right hand, forearm, upper arm, foot, shank and thigh) and wrote custom software to estimate each segment’s mass, mass moment of inertia in the three principal orthogonal axes relevant to the center of the segment, longitudinal length, and center of mass. We compared our body segment parameter estimates to those obtained using two comparison methods and found that our system was consistent in estimating total body volume between repeated scans (male p = 0.1194, female p = 0.2240), estimated total body mass without significant differences when compared to our comparison method and a medical scale (male p = 0.8529, female p = 0.6339), and generated consistent and comparable estimates across a range of the body segment parameters of interest. Our work here outlines and provides the code for an inexpensive 3D surface scanning method for estimating a range of participant-specific body segment parameters.
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Dissertations / Theses on the topic "3D body modelling"

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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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Keywords: Human Motion Modeling; Particle fltering; Monocular Full Body 3D Tracking.
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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Book chapters on the topic "3D body modelling"

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Alemany, S., A. Ballester, E. Parrilla, A. Pierola, J. Uriel, B. Nacher, A. Remon, et al. "3D Body Modelling and Applications." In Advances in Intelligent Systems and Computing, 623–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96065-4_66.

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Kuchmin, A. Yu, and Somar Karheily. "Automatic 3D Human Body Modelling." In Smart Electromechanical Systems: The Central Nervous System, 83–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53327-8_7.

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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, 229–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49384-0_18.

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Bardaro, Gianluca, Luca Bascetta, Francesco Casella, and Matteo Matteucci. "Advancement in Multi-body Physics Modeling for 3D Graphical Robot Simulators." In Modelling and Simulation for Autonomous Systems, 189–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47605-6_15.

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Awrejcewicz, Jan, and Grzegorz Kudra. "Modelling of Frictional Contacts in 3D Dynamics of a Rigid Body." In Springer Proceedings in Physics, 3–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54136-1_1.

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Peeters, Thomas, Jochen Vleugels, Stijn Verwulgen, Femke Danckaers, Toon Huysmans, Jan Sijbers, and Guido De Bruyne. "A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling." In Advances in Intelligent Systems and Computing, 464–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20216-3_43.

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Nikolova, Gergana, Daniel Dantchev, Vladimir Kotev, and Mihail Tsveov. "The Human Body and Weightlessness: Mass-Inertial Characteristics in One of the Basic Positions Selected by NASA via 3D Mathematical Modelling." In 8th European Medical and Biological Engineering Conference, 1092–100. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64610-3_123.

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Ambu, Rita, and Michele Calì. "Assessment of High Porosity Lattice Structures for Lightweight Applications." In Lecture Notes in Mechanical Engineering, 15–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_2.

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AbstractAdditive manufacturing (AM) methods have a growing application in different fields such as aeronautical, automotive, biomedical, and there is a huge interest towards the extension of their use. In this paper, lattice structures for AM are analysed with regards to stiffness and printability in order to verify the suitability for applications where the main requirement of efficiency in terms of stiffness has to be balanced with other needs such as weight saving, ease of manufacturing and recycling of the material. At this aim, lattice structures with high porosity unit cells and large cell size made of a recyclable material were considered with a geometrical configuration allowing 3D printing without any supports. The lattice structures considered were based on body-centred cubic (BCC) and face centred cubic (FCC) unit cell combined with cubic cell. Finally, a multi-morphology lattice structure obtained by mixing different unit cells is also proposed. The lattice structures were modelled and structurally analysed by means of finite element method (FEM), manufactured with a Fusion deposition modelling (FDM) printer and evaluated in relation to printability and dimensional accuracy. The results show that the proposed structure with mixed cells is potentially advantageous in terms of weight saving in relation to the mechanical properties.
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Abadía, Mercedes Farjas, Manuel Sillero Quintana, and Pedro Ángel Merino Calvo. "Application of Topographical Capture Techniques for Modelling Virtual Reality." In Geographic Information Systems, 970–90. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch060.

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Since the dawn of time man has attempted to represent the human figure with techniques ranging from simple drawings to techniques that manage to reflect the movement of body segments. In parallel, cartographic techniques have developed very advanced capture and 3D representation systems, but even though they have been applied in recent years to other sciences, they have not been applied yet to virtual reality. The appearance of the laser acquisition systems has enabled us to acquire data without discrimination on points and to get quick 3D models. This situation allows us to work directly on the concept of surface and to analyze it from the uniqueness of the detail, compared to traditional systems which capture points for, later, imaging surfaces from them. Under this prism, a research group was formed by graduates in Physical Activity and Sport and in Cartography, in order to bring together both sciences and to improve techniques of capture and representation of the human body. The road is not completely gone, but some results have been obtained and are presented in this work.
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Abadía, Mercedes Farjas, Manuel Sillero Quintana, and Pedro Ángel Merino Calvo. "Application of Topographical Capture Techniques for Modelling Virtual Reality." In Virtual Technologies for Business and Industrial Applications, 181–200. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-631-5.ch011.

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Since the dawn of time man has attempted to represent the human figure with techniques ranging from simple drawings to techniques that manage to reflect the movement of body segments. In parallel, cartographic techniques have developed very advanced capture and 3D representation systems, but even though they have been applied in recent years to other sciences, they have not been applied yet to virtual reality. The appearance of the laser acquisition systems has enabled us to acquire data without discrimination on points and to get quick 3D models. This situation allows us to work directly on the concept of surface and to analyze it from the uniqueness of the detail, compared to traditional systems which capture points for, later, imaging surfaces from them. Under this prism, a research group was formed by graduates in Physical Activity and Sport and in Cartography, in order to bring together both sciences and to improve techniques of capture and representation of the human body. The road is not completely gone, but some results have been obtained and are presented in this work.
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Conference papers on the topic "3D body modelling"

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"ON-LINE 3D BODY MODELLING FOR AUGMENTED REALITY." In International Conference on Computer Graphics Theory and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003866304720479.

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Lu, Guo-Dong, and Wei-Yan Deng. "Human Body Feature Curve Generating Method Based on Neural Network for 3D Human Body Modelling." In 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.343.

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STANKOVIC, Kristina, Femke DANCKAERS, Brian G. BOOTH, Fien BURG, Saartje DUERINCK, Jan SIJBERS, and Toon HUYSMANS. "Foot Abnormality Mapping using Statistical Shape Modelling." In 7th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 30 Nov.-1 Dec. 2016. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2016. http://dx.doi.org/10.15221/16.070.

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Psikuta, Agnes, Joanna Frackiewicz-Kaczmarek, and Rene M. Rossi. "Use of 3D Body Scanning Technique for Heat and Mass Transfer Modelling in Clothing." In 3rd International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 16-17 October 2012. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2012. http://dx.doi.org/10.15221/12.051.

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Bardaro, Gianluca, Luca Bascetta, Francesco Casella, and Matteo Matteucci. "Using Modelica for advanced Multi-Body modelling in 3D graphical robotic simulators." In The 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017. Linköping University Electronic Press, 2017. http://dx.doi.org/10.3384/ecp17132887.

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XU, Tingyu, Huanyun WEI, Yue XIN, and Longlin ZHANG. "Conversion Technology of Clothing Patterns from 3D Modelling to 2D Templates Based on Individual Point-Cloud." In 6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 27-28 October 2015. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2015. http://dx.doi.org/10.15221/15.134.

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Hovaneca, Michal, Teodor Tóthb, Viktória Rajťúkováb, Hana Pačaiováa, and Jozef Živčákb. "Application of 3D Full Body Scanners in Ergonomics." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100814.

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The submitted study deals with the optimization of a work system with consideration of generic processes in work environments. For the purpose of identifying the resulting quality of a workplace, the structure of an ergonomic program was created on the basis of a digital factory, and a knowledge database was created for the criteria and parameters of ergonomic evaluation of work systems influencing their quality. On the basis of an analysis of the present state of the application of ergonomics, an ergonomic workplace was implemented for the purpose of increasing the quality of the work environment. The application of a work environment design was used in a selected workplace dealing with courier services. With use of the Tecnomatix program the workplace took on a digital form, which consisted of a 3D scanning of the work environment, a 3D whole-body scanning of the workers, the modelling of the work environment in the Plant SIMULATION module and the application of the obtained data itself in the Tecnomatix Jack program. It is possible to anticipate or to limit many problems by observing work regulations. One of the possibilities is the creation of an electronic database of employees which offers input data for the simulation of a specific work position.
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Spitzer, K., and H.-J. Kümpel. "A New FD Method for 3D Resistivity Modelling with Application to a Phonolithic Body." In 57th EAEG Meeting. Netherlands: EAGE Publications BV, 1995. http://dx.doi.org/10.3997/2214-4609.201409365.

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"SEGMENTATION AND MODELLING OF FULL HUMAN BODY SHAPE FROM 3D SCAN DATA: A SURVEY." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001367401890197.

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BARBERO-GARCIA, Ines, Jose Luis LERMA, and Pablo MIRANDA. "Automatic Low-Cost Tool for Head 3D Modelling and Cranial Deformation Analysis in Infants." In 3DBODY.TECH 2019 - 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 22-23 Oct. 2019. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2019. http://dx.doi.org/10.15221/19.009.

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