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Motion estimation of elastic articulated objects from points and contours with volume invariable constraint. (English) Zbl 1151.68615

Summary: This paper presents a model of elastic articulated objects based on revolving conic surface and a method of model-based motion estimation. The model includes 3D object skeleton and deformable surfaces that can represent the deformation of human body surfaces. In each limb, surface deformation is represented by adjusting one or two deformation parameters. Then, the 3D deformation parameters are determined by corresponding 2D image points and contours with volume invariable constraint from a sequence of stereo images. The 3D motion parameters are estimated based on the 3D model. The algorithm presented in this paper includes model-based parameter estimation of motion and parameter determination of deformable surfaces.

MSC:

68T10 Pattern recognition, speech recognition
68U05 Computer graphics; computational geometry (digital and algorithmic aspects)
68T45 Machine vision and scene understanding
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[1] J.K. Aggarwal, Q. Cai, W. Liao, Articulated and elastic non-rigid motion: a review, Proceedings of the IEEE Workshop on Motion of Non-rigid and Articulated Objects, 1994.; J.K. Aggarwal, Q. Cai, W. Liao, Articulated and elastic non-rigid motion: a review, Proceedings of the IEEE Workshop on Motion of Non-rigid and Articulated Objects, 1994.
[2] P. Sand, L. McMillan, J. Popovic, Continuous capture of skin deformation, SIGGRAPH, 2003.; P. Sand, L. McMillan, J. Popovic, Continuous capture of skin deformation, SIGGRAPH, 2003.
[3] Green, R. D.; Guan, L., Quantifying and recognizing human movement patterns form monocular video images—part I: a new framework for modeling human motion, IEEE Trans. Circuits Systems Video Technol., 14, 2, 179-190 (2004)
[4] Adamek, T.; O’Connor, N., A multiscale representation method for nonrigid shapes with a single closed contour, IEEE Trans. Circuits Systems Video Technol., 14, 5, 742-753 (2004), (Special issue on audio and video analysis for multimedia interactive services)
[5] Nahas, M.; Huitric, H.; Saintourens, M., Animation of a B-spline figure, Visual Comput., 3, 5, 272-276 (1988)
[6] Pentland, A.; Horowitz, B., Recovery of nonrigid motion and structure, IEEE Trans. Pattern Anal. Mach. Intell., 13, 7, 730-742 (1991)
[7] K.-H. Min, S.-M. Baek, G.A. Lee, H. Choi, C.-M. Park, Anatomically-based modeling and animation of human upper limbs, Proceedings of International Conference on Human Modeling and Animation, 2000.; K.-H. Min, S.-M. Baek, G.A. Lee, H. Choi, C.-M. Park, Anatomically-based modeling and animation of human upper limbs, Proceedings of International Conference on Human Modeling and Animation, 2000.
[8] Plankers, R.; Fua, P., Articulated soft objects for multiview shape and motion capture, IEEE Trans. Pattern Anal. Mach. Intell., 25, 9, 1182-1187 (2003)
[9] C. Sminchisescu, Estimation algorithms for ambiguous visual models—three dimensional human modeling and motion reconstruction in monocular video sequences, Doctoral Thesis, INRIA, 2002.; C. Sminchisescu, Estimation algorithms for ambiguous visual models—three dimensional human modeling and motion reconstruction in monocular video sequences, Doctoral Thesis, INRIA, 2002.
[10] N. D’Apuzzo, R. Plänkers, A. Gruen, F. Fua, D. Thalmann, Modeling human bodies from video sequences, Proceedings of the Videometrics VI, Part of IS & T/SPIE’s Symposium on Electronic Imaging, 1999.; N. D’Apuzzo, R. Plänkers, A. Gruen, F. Fua, D. Thalmann, Modeling human bodies from video sequences, Proceedings of the Videometrics VI, Part of IS & T/SPIE’s Symposium on Electronic Imaging, 1999.
[11] Jain, R. C.; Kasturi, R.; Schunk, B., Machine Vision (1995), McGraw-Hill Inc: McGraw-Hill Inc New York
[12] Zhang, X.; Liu, Y.; Huang, T. S., Articulated joint estimation from motion using two monocular images, Pattern Recognition Lett., 25, 10, 1097-1106 (2004)
[13] J. Ahlberg, CANDIDE-3—an updated parameterized face, Report No. LiTH—ISY—R—2326, Department of Electrical Engineering, LinkÄoping University, Sweden, 2001.; J. Ahlberg, CANDIDE-3—an updated parameterized face, Report No. LiTH—ISY—R—2326, Department of Electrical Engineering, LinkÄoping University, Sweden, 2001.
[14] Songde, M. A., Conics-based stereo, motion estimation, and pose determination, Int. J. Comput. Vis., 10, 1 (1993)
[15] Zhang, Z., Parameter estimation techniques: a tutorial with application to conic fitting, Image Vis. Comput. J., 15, 1, 59-76 (1997)
[16] X. Hui, H. Donghong, Z. Xiuyuan, A research on the mass center of chinese adults, Chinese Ergono. (1998) (3), 5-8, 10-12.; X. Hui, H. Donghong, Z. Xiuyuan, A research on the mass center of chinese adults, Chinese Ergono. (1998) (3), 5-8, 10-12.
[17] Zhang, Z., A flexible new technique for camera calibration, IEEE Transactions on Pattern Anal. Mach. Intell., 22, 11, 1330-1334 (2000)
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