资源论文Deterministic 3D Human Pose Estimation Using Rigid Structure

Deterministic 3D Human Pose Estimation Using Rigid Structure

2020-03-31 | |  80 |   38 |   0

Abstract

This paper explores a method, first proposed by Wei and Chai [1], for estimating 3D human pose from several frames of uncal- ibrated 2D point correspondences containing pro jected body joint lo- cations. 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, demon- strating 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 pro- vides 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.

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