Reconstruction of 3D figure motion from 2D correspondences

Author

DiFranco, David E. ; Cham, Tat-Jen ; Rehg, James M.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA

Volume

1

fYear

2001

fDate

2001

Abstract

We present a method for computing the 3D motion of articulated models from 2D correspondences. An iterative batch algorithm is proposed which estimates the maximum a posteriori trajectory based on 2D measurements subject to a number of constraints. These include (i) kinematic constraints based on a 3D kinematic model, (ii) joint angle limits, (iii) dynamic smoothing, and (iv) 3D key frames which can be specified by the user. The framework handles any variation in the number of constraints as well as partial or missing data. This method is shown to obtain favorable reconstruction results on a number of complex human motion sequences.

Keywords

image motion analysis; image reconstruction; image sequences; stereo image processing; video signal processing; 2D correspondences; 3D figure motion reconstruction; 3D key frames; 3D kinematic model; articulated models; complex human motion sequences; dynamic smoothing; iterative batch algorithm; joint angle limits; kinematic constraints; maximum a posteriori trajectory; missing data; partial data; Cameras; Educational institutions; Humans; Image reconstruction; Image sequences; Iterative algorithms; Kinematics; Motion pictures; State-space methods; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-1272-0

Type

conf

DOI

10.1109/CVPR.2001.990491

Filename

990491