Virtual Fitting by Single-Shot Body Shape Estimation

Proceedings of the 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21-22 October 2014 ◽

10.15221/14.406 ◽

2014 ◽

Cited By ~ 16

Author(s):

Masahiro Sekine ◽

Kaoru Sugita ◽

Frank Perbet ◽

Bjorn Stenger ◽

Masashi Nishiyama

Keyword(s):

Body Shape ◽

Single Shot ◽

Shape Estimation

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Seeing through the appearance: Body shape estimation using multi-view clothing images

2015 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme.2015.7177402 ◽

2015 ◽

Author(s):

Wei-Yi Chang ◽

Yu-Chiang Frank Wang

Keyword(s):

Body Shape ◽

Shape Estimation

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Multilinear pose and body shape estimation of dressed subjects from image sets

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2010.5539853 ◽

2010 ◽

Cited By ~ 54

Author(s):

Nils Hasler ◽

Hanno Ackermann ◽

Bodo Rosenhahn ◽

Thorsten Thormahlen ◽

Hans-Peter Seidel

Keyword(s):

Body Shape ◽

Shape Estimation

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Simultaneous Localization, Mapping and Self-body Shape Estimation by a Mobile Robot

Intelligent Autonomous Systems 14 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-48036-7_5 ◽

2017 ◽

pp. 53-68

Author(s):

Akira Taniguchi ◽

Lv WanPeng ◽

Tadahiro Taniguchi ◽

Toshiaki Takano ◽

Yoshinobu Hagiwara ◽

...

Keyword(s):

Mobile Robot ◽

Body Shape ◽

Shape Estimation

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Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests

Computer Vision – ECCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46493-0_6 ◽

2016 ◽

pp. 88-104 ◽

Cited By ~ 13

Author(s):

Endri Dibra ◽

Cengiz Öztireli ◽

Remo Ziegler ◽

Markus Gross

Keyword(s):

Human Body ◽

Body Shape ◽

Shape Estimation

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Two-stage model fitting approach for human body shape estimation from a single depth image

2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA) ◽

10.23919/mva.2017.7986844 ◽

2017 ◽

Cited By ~ 2

Author(s):

Mei Oyama ◽

Naoshi Kaneko ◽

Masaki Hayashi ◽

Kazuhiko Sumi ◽

Takeshi Yoshida

Keyword(s):

Human Body ◽

Body Shape ◽

Model Fitting ◽

Depth Image ◽

Stage Model ◽

Shape Estimation ◽

Two Stage

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Human Body Shape Estimation Using a Multi-resolution Manifold Forest

2014 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2014.91 ◽

2014 ◽

Cited By ~ 8

Author(s):

Frank Perbet ◽

Sam Johnson ◽

Minh-Tri Pham ◽

Bjorn Stenger

Keyword(s):

Human Body ◽

Body Shape ◽

Shape Estimation

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Reducing depth ambiguity in 3D human pose and body shape estimation

Fifteenth International Conference on Quality Control by Artificial Vision ◽

10.1117/12.2591151 ◽

2021 ◽

Author(s):

Gakuto Maruyama ◽

Naoshi Kaneko ◽

Seiya Ito ◽

Kazuhiko Sumi

Keyword(s):

Body Shape ◽

Shape Estimation ◽

Human Pose

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Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i6.723 ◽

2018 ◽

Vol 8 (6) ◽

pp. 69

Author(s):

Kulalvaimozhi. V. P. ◽

Germanus Alex. M ◽

John Peter. S

Keyword(s):

Machine Learning ◽

Performance Analysis ◽

Camera Calibration ◽

Pose Estimation ◽

Body Shape ◽

Data Driven ◽

Virtual Human ◽

Single Image ◽

Shape Estimation ◽

Challenging Situation

Virtual human bodies, clothing, and hair are widely used in a number of scenarios such as 3D animated movies, gaming, and online fashion. Machine learning can be used to construct data-driven 3D human bodies, clothing, and hair. In this thesis, we provide a solution to 3D shape and pose estimation under the most challenging situation where only a single image is available and the image is captured in a natural environment with unknown camera calibration. We also demonstrate that a simplified 2D clothing model helps to increase the accuracy of 2D body shape estimation significantly.

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