A shape descriptor for real time 3D foot pose estimation

Authors:
Ho-Geun Song;Ha-Sung Koo
Affiliations:
Department of Computer & Information Engineering, Hanseo University, Seosan-si, Chungcheongnam-do, Korea;Department of Computer & Information Engineering, Hanseo University, Seosan-si, Chungcheongnam-do, Korea
Venue:
ISCGAV'10 Proceedings of the 10th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2010

Citing 7
Cited 0

A contour-oriented approach to shape analysis

A contour-oriented approach to shape analysis
Human motion analysis: a review

Computer Vision and Image Understanding
Computer Processing of Line-Drawing Images

ACM Computing Surveys (CSUR)
Region-based image retrieval using integrated color, shape, and location index

Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Efficient Shape Matching Using Shape Contexts

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Shape Sequences in Video with Applications in Human Movement Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering 3D Human Pose from Monocular Images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes the effective shape descriptor for 3D foot pose estimation. To reduce processing time, silhouette-based foot image database is built and meta information which involves the 3D pose of the foot is appended to the database. And we proposed a modified Centroid Contour Distance whose size of the feature space is small and performance of pose estimation is better than the others. In order to analyze performance of the descriptor, we evaluate time and spatial complexity with retrieval accuracy, and then compare with the previous methods. Experimental results show that the proposed descriptor is more effective than the previous methods on feature extraction time and pose estimation accuracy.