TAILIEUCHUNG - Báo cáo hóa học: " Research Article Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 59535 11 pages doi 2007 59535 Research Article Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution Toshihiko Yamasaki and Kiyoharu Aizawa Department of Information and Communication Engineering Graduate School of Information Science and Technology The University of Tokyo Engineering Building No. 2 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Received 31 January 2006 Accepted 14 October 2006 Recommended by Tsuhan Chen A similar motion search and retrieval system for 3D video are presented based on a modified shape distribution algorithm. 3D video is a sequence of 3D models made for a real-world object. In the present work three fundamental functions for efficient retrieval have been developed feature extraction motion segmentation and similarity evaluation. Stable-shape feature representation of 3D models has been realized by a modified shape distribution algorithm. Motion segmentation has been conducted by analyzing the degree of motion using the extracted feature vectors. Then similar motion retrieval has been achieved employing the dynamic programming algorithm in the feature vector space. The experimental results using 3D video sequences of dances have demonstrated very promising results for motion segmentation and retrieval. Copyright 2007 T. Yamasaki and K. Aizawa. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Dynamic three-dimensional 3D modeling of real-world objects using multiple cameras has been an active research area in recent years 1-5 . Since such sequential 3D models which we call 3D video are generated employing a lot of cameras and represented as 3D polygon mesh realistic representation of dynamic 3D objects is obtained. Namely the

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