Paper Info
Title
Deterministic 3D human pose estimation using rigid structure
Abstract
This paper explores a method, first proposed by Wei and Chai [1], for estimating 3D human pose from several frames of uncalibrated 2D point correspondences containing projected body joint locations. In their work Wei and Chai boldly claimed that, through the introduction of rigid constraints to the torso and hip, camera scales, bone lengths and absolute depths could be estimated from a finite number of frames (i.e. ≥ 5). In this paper we show this claim to be false, demonstrating in principle one can never estimate these parameters in a finite number of frames. Further, we demonstrate their approach is only valid for rigid sub-structures of the body (e.g. torso). Based on this analysis we propose a novel approach using deterministic structure from motion based on assumptions of rigidity in the body's torso. Our approach provides notably more accurate estimates and is substantially faster than Wei and Chai's approach, and unlike the original, can be solved as a deterministic least-squares problem.
Year
DOI
Venue
2010
10.1007/978-3-642-15558-1_34
Lecture Notes in Computer Science
Keywords
Field
DocType
body joint location,novel approach,finite number,deterministic structure,accurate estimate,absolute depth,deterministic least-squares problem,rigid structure,rigid constraint,work wei,rigid sub-structures,pose estimation,structure from motion
Rigidity (psychology),Structure from motion,Computer vision,Torso,Finite set,Computer science,Pose,Artificial intelligence,Articulated body pose estimation
Conference
Volume
ISSN
ISBN
6313
0302-9743
3-642-15557-X
Citations 
PageRank 
References 
19
0.91
13
Authors
2
Name
Order
Citations
PageRank
Jack Valmadre146614.08
Simon Lucey22034116.77