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Modeling and deformation method of human body model based on range data

R. Matsuda, T. Nishita
1999 Proceedings Shape Modeling International '99. International Conference on Shape Modeling and Applications  
A cloth simulation system must generate a human body model based on measured data obtained from range data. We propose modeling and deformation methods based on such data.  ...  To show the effectiveness of the proposed method, we demonstrate fitting and deformation, the two human body models to be used for the cloth simulation.  ...  Acknowledgements We thank Kazuhisa Takae for his technical help in making human body model.  ... 
doi:10.1109/sma.1999.749327 dblp:conf/smi/MatsudaN99 fatcat:2n4yu72kwzgqzpoctfnytm5xhe

Modeling Method of Metaball Human Body based on Range Data of Various Body Sizes
様々な体型の3次元人体計測データに基づいたメタボール人体のモデリング手法

Ryouji Matsuda, Tomoyuki Nishita
1998 Sen'i Gakkaishi  
We propose a modeling method of a human body for dress simulation using computer graphics.  ...  In order to demonstrate the effectiveness of the proposed method, we show two examples of metaball human bodies based on the range data; a standard body model and a fat body model are deformed from it.  ...  In the second phase, the standard human model is deformed to other size bodies based on the range data. That is, once a standard human model is generated, various body types can be easily obtained.  ... 
doi:10.2115/fiber.54.6_315 fatcat:qkbiqljri5fgzbvnqwveo6owr4

Automatic modeling of virtual humans and body clothing

Nadia Magnenat-Thalmann, Hyewon Seo, Frederic Cordier
2004 Journal of Computer Science and Technology  
Methods for capturing the shape of real people, parameterization techniques for modeling static shape (the variety of human body shapes) and dynamic shape (how the body shape changes as it moves) of virtual  ...  This paper studies the problem and solutions to automatic modeling of animatable virtual humans.  ...  More recently, novel interpolation methods that start with range scan data and use data interpolation to generate controllable diversity of appearance in human face and body models have been introduced  ... 
doi:10.1007/bf02945583 fatcat:hifropmg6nbrdn4vy6v5gujmza

Semantic Parametric Reshaping of Human Body Models

Yipin Yang, Yao Yu, Yu Zhou, Sidan Du, James Davis, Ruigang Yang
2014 2014 2nd International Conference on 3D Vision  
We evaluate performance on two datasets and find that our model outperforms existing methods.  ...  We develop a novel approach to generate human body models in a variety of shapes and poses via tuning semantic parameters.  ...  BE2011169, BK2011563 from the Natural Science Foundation of Jiangsu Province and GrantNos. 61100111, 61300157, 61201425, 61271231 from the Natural Science Foundation of China.  ... 
doi:10.1109/3dv.2014.47 dblp:conf/3dim/YangYZDDY14 fatcat:r7vpjobjzjaxpc6yrddvavrgme

3D Body Reconstruction from Photos Based on Range Scan [chapter]

Hyewon Seo, Young In Yeo, Kwangyun Wohn
2006 Lecture Notes in Computer Science  
In contrast, we adopt a data-driven, parameterized deformable model that is acquired from a collection of range scans of real human body.  ...  We present a data-driven shape model for reconstructing human body models from one or more 2D photos.  ...  This work has been supported in part by Chungnam National Univeristy, BK21 project of EECS Department at KAIST, and MMRC project funded by SK Telecom.  ... 
doi:10.1007/11736639_105 fatcat:64vcqfszx5eutlzynd2pcbpxma

Predicting Realistic and Precise Human Body Models Under Clothing Based on Orthogonal-view Photos

Shuaiyin Zhu, P.Y. Mok
2015 Procedia Manufacturing  
In this study, we present an intelligent two-phase method to customize 3D digital human body models based on two orthogonal-view photos of the customers.  ...  It fills up the research gap of human model customization; without the need of taking body scan, any customers can create their 3D digital body models only based on their orthogonal-view photos in normal  ...  The partial support of this work by the Innovation and Technology Commission of Hong Kong, under grant ITS/289/13, and The Hong Kong Polytechnic University, under project code: RPUC, are gratefully acknowledged  ... 
doi:10.1016/j.promfg.2015.07.884 fatcat:zu62dqie5vcufk4vwxbd6lciyy

A 2D Human Body Model Dressed in Eigen Clothing [chapter]

Peng Guan, Oren Freifeld, Michael J. Black
2010 Lecture Notes in Computer Science  
The method is evaluated quantitatively on synthetic and real images and achieves better accuracy than previous methods for estimating body shape under clothing.  ...  We describe a new 2D model of the human body contour that combines an underlying naked body with a lowdimensional clothing model.  ...  This work was supported in part by NIH EUREKA 1R01NS066311-01 and NSF IIS-0812364. We thank L. Reiss for generating the synthetic training data, A. Bȃlan for assistance with the real dataset, and S.  ... 
doi:10.1007/978-3-642-15549-9_21 fatcat:mgszsg7ewbb3xhn7lufs237the

Development of a Methodology for Simulating Seat Back Interaction Using Realistic Body Contours

Jingwen Hu, Matthew P. Reed
2013 SAE International Journal of Passenger Cars - Mechanical Systems  
This study introduces a methodology for using three-dimensional computer models of the human torso based on a statistical analysis of body shapes for conducting automated fit assessments.  ...  Surface scan data from 296 men and 417 women in a seated posture were analyzed to create a body shape model that can be adjusted to a range of statures, body shape, and postures spanning those typical  ...  One approach to using the CAESAR data has been to manually craft manikins based on a small number of selected scans for use in human modeling software packages used for ergonomics, such as Jack and RAMSIS  ... 
doi:10.4271/2013-01-0452 fatcat:7w2fa26xprddpj525pzhl5jnyy

Research and Application of Parametric Modeling Technology for Human Body Based on OpenGL

Xun ZHANG, Yuan YANG, Yuan GAO, Ao-Shuang DONG
2017 DEStech Transactions on Computer Science and Engineering  
Based on the OpenGL, the integral deformation of the height and width of the whole human body model was carried out.  ...  This paper aims to build the human body models based on the belly shape features. We use NURBS surface to build the human body models, and control vertex in the surface to deform.  ...  model based on the NURBS surface modeling method which is a very powerful modeling method of curve and surface.  ... 
doi:10.12783/dtcse/aice-ncs2016/5656 fatcat:d2fglrlgjzdwxkgwiqch2cbbsu

Segmented-body Change driven VR Game Character Deformation with Cross Sectional Area Mapping

Seongah Chin
2016 International Journal of Smart Device and Appliance  
To verify this method, we showed not only deformation results of human characters but also performance test. The techniques can be extended to the wide range of characters as well.  ...  This method utilizes manipulation of each segmented body as well as a whole. In addition, it runs on HMD VR with somewhat high frame rate.  ...  Choi and D. Lee for their help in modeling and testing.  ... 
doi:10.21742/ijsda.2016.4.2.07 fatcat:5gsd2p4l2jbcrndxdvrt5tzzgq

SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans [article]

Igor Santesteban, Elena Garces, Miguel A. Otaduy, Dan Casas
2020 arXiv   pre-print
We present SoftSMPL, a learning-based method to model realistic soft-tissue dynamics as a function of body shape and motion.  ...  At the core of our method there are three key contributions that enable us to model highly realistic dynamics and better generalization capabilities than state-of-the-art methods, while training on the  ...  Igor Santesteban was supported by the Predoctoral Training Programme of the Department of Education of the Basque Government (PRE_2019_2_0104), and Elena Garces was supported by a Juan de la Cierva -Formación  ... 
arXiv:2004.00326v1 fatcat:6gnlqyb4xzf6jhz54h6nlvkhsm

Detailed Human Shape and Pose from Images

Alexandru O. Balan, Leonid Sigal, Michael J. Black, James E. Davis, Horst W. Haussecker
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs).  ...  that is learned from a database of range scans of human bodies.  ...  It also captures a wide range of human forms and shape deformations due to pose.  ... 
doi:10.1109/cvpr.2007.383340 dblp:conf/cvpr/BalanSBDH07 fatcat:m6j7sl6mvjdzfbzgybix4qap7q

The stitched puppet: A graphical model of 3D human shape and pose

Silvia Zuffi, Michael J. Black
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We propose a new 3D model of the human body that is both realistic and part-based.  ...  We infer pose and body shape using a form of particle-based max-product belief propagation. This gives SP the realism of recent 3D body models with the computational advantages of part-based models.  ...  We thank Oren Freifeld, Javier Romero and Matt Loper for help with the SCAPE model and Gerard Pons-Moll for the visual hull code.  ... 
doi:10.1109/cvpr.2015.7298976 dblp:conf/cvpr/ZuffiB15 fatcat:pbnskyouebat5d2i5ntseoucbq

SCAPE

Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis
2005 ACM Transactions on Graphics  
We also learn a separate model of variation based on body shape.  ...  The method is based on a representation that incorporates both articulated and non-rigid deformations.  ...  We would like to acknowledge the indispensable help of Lars Mündermann, Stefano Corazza and the Stanford Biomechanics group, who provided us with the scan data.  ... 
doi:10.1145/1073204.1073207 fatcat:fbk2ncxyxzavnhaii34neel3ou

SCAPE

Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, James Davis
2005 ACM SIGGRAPH 2005 Papers on - SIGGRAPH '05  
We also learn a separate model of variation based on body shape.  ...  The method is based on a representation that incorporates both articulated and non-rigid deformations.  ...  We would like to acknowledge the indispensable help of Lars Mündermann, Stefano Corazza and the Stanford Biomechanics group, who provided us with the scan data.  ... 
doi:10.1145/1186822.1073207 fatcat:gh2unuzijndjjkib4ptuh5vyfq
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