DocumentCode :
2953857
Title :
3D reconstruction of a smooth articulated trajectory from a monocular image sequence
Author :
Park, Hyun Soo ; Sheikh, Yaser
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
201
Lastpage :
208
Abstract :
An articulated trajectory is defined as a trajectory that remains at a fixed distance with respect to a parent trajectory. In this paper, we present a method to reconstruct an articulated trajectory in three dimensions given the two dimensional projection of the articulated trajectory, the 3D parent trajectory, and the camera pose at each time instant. This is a core challenge in reconstructing the 3D motion of articulated structures such as the human body because endpoints of each limb form articulated trajectories. We simultaneously apply activity-independent spatial and temporal constraints, in the form of fixed 3D distance to the parent trajectory and smooth 3D motion. There exist two solutions that satisfy each instantaneous 2D projection and articulation constraint (a ray intersects a sphere at up to two locations) and we show that resolving this ambiguity by enforcing smoothness is equivalent to solving a binary quadratic programming problem. A geometric analysis of the reconstruction of articulated trajectories is also presented and a measure of the reconstructibility of an articulated trajectory is proposed.
Keywords :
geometry; image motion analysis; image reconstruction; image sequences; quadratic programming; 3D image reconstruction; 3D parent trajectory; activity-independent spatial constraints; activity-independent temporal constraints; binary quadratic programming problem; camera pose; dimensional projection; geometric analysis; human body; limb form articulated trajectories; monocular image sequence; smooth articulated trajectory; Cameras; Equations; Humans; Image reconstruction; Optical variables measurement; Three dimensional displays; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2011 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1550-5499
Print_ISBN :
978-1-4577-1101-5
Type :
conf
DOI :
10.1109/ICCV.2011.6126243
Filename :
6126243
Link To Document :
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