Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences

Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and articulations. Acquisition of such data requires expensive equipment, calibration procedures, and is limited to cooperativ...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 42; H. 10; S. 2540 - 2551
Hauptverfasser:	Hesse, Nikolas, Pujades, Sergi, Black, Michael J., Arens, Michael, Hofmann, Ulrich G., Schroeder, A. Sebastian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Animals Avatars Biological system modeling Body models Computer Science Computer Vision and Pattern Recognition Data models data-driven Face Human body Infants Learning motion analysis RGB-D Shape Statistical models Three dimensional bodies Three dimensional models Three-dimensional displays RGB-D Body models infants data-driven motion analysis
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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