Browse > Article
http://dx.doi.org/10.6109/jkiice.2010.14.2.469

Shape Descriptor for 3D Foot Pose Estimation  

Song, Ho-Geun (한서대학교 컴퓨터정보공학과)
Kang, Ki-Hyun (중앙대학교 첨단영상대학원)
Jung, Da-Woon (중앙대학교 첨단영상대학원)
Yoon, Yong-In (중앙대학교 첨단영상대학원)
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.
Keywords
Shape description; Contents-based Retrieval; Pose estimation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. O. Balan, L. Sigal, M. J. Black, J. E. Davis and H. W. Haussecker, "Detailed Human Shape and Pose from Images," International Conference on Computer Vision and Pattern Recognition, pp. 73-80, 2007.
2 Herbert Freeman, "Computer processing of line-drawing images," Computing Surveys, Vol. 6, No.1, pp. 57-97, 1974.   DOI
3 J. Wang, H. Saito, M. Kimura, M. Mochimaru and T. Kanade, "Human Foot Reconstruction from Multiple Camera Images with Foot Shape Database," IEICE Transactions on Information and Systems, Vol. 89, No. 5, 2006.
4 J. T-M. Cheung and M. Zhang, "Finite Element Modeling of the Human Foot and Foot Wear," ABAQUS User's Conference, pp. 145-159, 2006.
5 C. M. Cyr, A. F. Kamal, T. B. Sebastian, and B. B. Kimmia, "2D-3D Registration based on Shape Matching,' Proceedings of Mathemetical Method in Biomedical Image Analysis, pp. 198-203, 2000.
6 B. G. Prasad, K. K. Biswas and S.K. Gupta, "Region based image retrieval using integrated color, shape &location index." Computer Vision nd Image Understanding, Vol. 94, pp. 193-233, 2004   DOI   ScienceOn
7 A. Agarwal and B. Triggs, "Recovering 3D Human Pose from Monocular Images," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 28, No. 1, 2006.
8 G. Mori, S. Belongie and J. Malik, "Efficient Shape Matching using Shape Context," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 11, pp. 1832-1837, 2005.
9 P. Tresadern and I. Reid, "An Evaluation of Shape Descriptors for Image Retrieval in Human Pose Estimation," The 18th British Machine Vision Conference, Vol. 2, pp. 800-809, 2007.
10 D. Zhang and G. Lu, "Review of Shape Representation and Description Techniques," Pattern Recognition, Vol. 37, pp. 1-19, 2004.   DOI   ScienceOn
11 Z. Wang, Z. Chi and D. Feng, "Shape based leaf image retrieval," IEE Proceedings of Image and Signal Processing, Vol. 150, No. 1, pp. 34-43, 2003.   DOI   ScienceOn
12 P. Azariadis, V. Moulianitis, S. Alemany, J. C. Conzalez, P. D. Jong, M. V. D. Zande and D. Brands, "Virtual Shoe Test Bed: A Computer-Aided Engineering Tool for Supporting Shoe Design," Computer-Aided Design and Applications, Vol. 4, No.6, pp. 741-750, 2007.   DOI
13 S. G. Papageorgiou, V. C. Moulianitis, and N. A. Aspragathos, "Transfer VM Concepts to Cloth Design and Manufacturing," Eurasia-Tex Conference on 3D Body Scanning and Virtual Try-On Systems, pp. 41-49, 2003.
14 P. Eisert, J. Rurainsky and P. Fechteler, "VIRTUAL MIRROR : Real-Time Tracking of Shoes in Augmented Reality Environments," International Conference on Image Processing, pp. 557-560, 2007.