The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
Transactions ID Number: 19-434
Full Name: Ho-geun Song
Position: Professor
Age: ON
Sex: Male
Address: Department of Computer & Information Engineering,Hanseo Univ. 360 Daegok-ri haemi-myun Seosan-si Chungcheongnam-do
Country: KOREA
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E-mail address: hksong@hanseo.ac.kr
Other E-mails: hksong2002@yahoo.co.kr
Title of the Paper: a real time 3d foot pose estimation unsing silhouette based 2.5d database
Authors as they appear in the Paper: Ho-geun Song and Ha-sung Koo
Email addresses of all the authors: hksong@hanseo.ac.kr,hskoo@hanseo.ac.kr
Number of paper pages: 8
Abstract: This paper proposes a real time 3D foot pose estimation method using silhouette based 2.5D database. Shape descriptor for 3D pose estimation should be chosen to hold robustness for geometrical transformations, and to require short processing time. To reduce processing time, total 13,500 silhouette-based foot image database is built and meta information which involves 3D pose and feature vectors of the foot image 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 proposed descriptor, we evaluate time and spatial complexity with retrieval accuracy, and then compare with the previous methods. According to the result of our experiment, proposed descriptor has only 63 feature values. It is about 20% of the average spatial complexity. Furthermore, our method takes about 0.00296 seconds to extract feat!
ure values. It is about 86% of the average time complexity. The results show that the proposed descriptor is more effective than the previous methods on feature extraction time. Finally, if we estimate retrieval accuracy as a reciprocal of the average error, then the proposed method improves about 36% of the average retrieval accuracy in comparison with the other methods. The experimental results show that the proposed descriptor is more effective than the previous methods on feature extraction time and pose estimation accuracy.
Keywords: Shape descriptor, Pose estimation, Image retrieval, 3D foot pose, and Silhouette based database
EXTENSION of the file: .doc
Special (Invited) Session: a shape descriptor for real time 3d foot pose estimation
Organizer of the Session: 647-204
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