tailieunhanh - báo cáo hóa học:" Research Article An Iterative Surface Evolution Algorithm for Multiview Stereo"

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 An Iterative Surface Evolution Algorithm for Multiview Stereo | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2010 Article ID 274269 10 pages doi 2010 274269 Research Article An Iterative Surface Evolution Algorithm for Multiview Stereo Yongjian Xi and Ye Duan Department of Computer Science University of Missouri Columbia MO 65211 USA Correspondence should be addressed to Ye Duan duanye@ Received 2 August 2009 Revised 16 December 2009 Accepted 3 March 2010 Academic Editor Kenneth K. Y. Wong Copyright 2010 Y. Xi and Y. Duan. 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. We propose a new iterative surface evolution algorithm for multiview stereo. Starting from an embedding space such as the visual hull we will first conduct robust 3D depth estimation represented as 3D points based on image correlation. A fast implicit distance function-based region growing method is then employed to extract an initial shape estimation based on these 3D points. Next an explicit surface evolution will be conducted to recover the finer geometry details of the recovered shape. The recovered shape will be further improved by several iterations between depth estimation and shape reconstruction similar to the Expectation Maximization EM approach. The experiments on the benchmark datasets show that our algorithm can obtain high-quality reconstruction results that are comparable with the state-of-art methods with considerable less computational time and complexity. 1. Introduction Despite significant advancement in interactive shape modeling creating complex high-quality realistic looking 3D models from scratch is still a very challenging task. Recent advancement in 3D shape acquisition systems such as laser range scanners and encoded light projecting system has made directly 3D data acquisition feasible 1 . These active 3D acquisition

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