NDLI: Acquisition of 3-D surface shape of human body from monocular images without pose estimation

Content Provider	IEEE Xplore Digital Library
Author	En Peng Ling Li
Copyright Year	2012
Description	Author affiliation: Digital Technology International Group Limited, Perth, Western Australia, Australia (En Peng) \|\| Department of Computing, Curtin University, Perth, Western Australia, Australia (Ling Li)
Abstract	In this paper we present a novel method to acquire the 3D surface shape of a human body from video/images captured by a single camera. Unlike existing methods where view or motion restriction is imposed or posture estimation or fitting is required, the proposed method estimates the human surface shape by computing the shape parameters directly from features of body parts in the images, assuming body proportion and camera focal length are available (which also can be estimated from monocular images). In this method, each body part is considered as a rigid 3D object derived from a cylinder and is dealt with independently to avoid the deformation complexity of a soft object and the pose uncertainties of an articulated object. Existing algorithms for recovering the shape of a cylinder from monocular image(s) are not directly applicable for such applications as they require the cross-section contours of a cylinder. A method is proposed in this paper that can recover the shape of a cylinder base on just 2D bounding boxes. This method is further extended for recovery of the human body shape. The proposed system is applied to both synthetic and real video/images and has produced promising results where the acquired body shape resembles the input human figure.
Starting Page	1136
Ending Page	1141
File Size	195982
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485317
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Cameras Estimation Numerical models Computational modeling Solid modeling Joints
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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