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        2014-06-12 11:20   審核人:

        時間 2014-06-13上午10:00

        地點:電子信息學院 275


        TitleSimultaneous Correspondences and Motion Estimation in Geometric Computer Vision




        In this talk, I will introduce our recent efforts of estimating correspondences and motion simultaneously in geometric computer vision. Particularly I will discuss two of our ongoing research projects on this topic in details.


        Motion segmentation can be addressed as a subspace clustering problem, assuming that the trajectories of interest points are known. However, establishing point correspondences is in itself a challenging task. Existing approaches tackle the correspondence estimation and motion segmentation problems separately. We introduce an approach to performing motion segmentation without any prior knowledge of point correspondences. We formulate this problem in terms of Partial Permutation Matrices (PPMs) and aim to match feature descriptors while simultaneously encouraging point locations to satisfy subspace constraints. This lets us handle outliers in both point locations and feature appearance. The resulting optimization problem can be solved via the Alternating Direction Method of Multipliers (ADMM), where each subproblem has an efficient solution. In non-rigid structure from motion, given point correspondences across multiple images, it has been shown that 3D non-rigid structure can be recovered through factorization techniques. We present a unified framework to simultaneously solve for point correspondences and non-rigid structure by using the PPMs, aiming at establishing point correspondences and enforcing low-rank constraint in the deformable shape. Our new formulation can handle outliers and missing data elegantly.



        Yuchao Dai is currently an ARC DECRA Fellow with the Research School of Engineering at the Australian National University, Canberra. He received the B.E. degree, M.E degree and Ph.D. degree all in signal and information processing under supervision of Prof. Mingyi He from Northwestern Polytechnical University, Xian, China, in 2005, 2008 and 2012, respectively. He was a visiting student at ANU from Oct. 2008 to Oct. 2009 under the supervision of Prof. Richard Hartley and Dr. Hongdong Li with the support of the China Scholarship Council. His research interests include structure from motion, multi-view geometry, human-computer interaction, compressive sensing and optimization. He has published papers in both top-ranked journals and prestigious conferences such as IEEE TPAMI, IJCV, ICCV, CVPR and ECCV. He won the best paper award in CVPR 2012 (the first one in mainland China). His recent work aims at developing dense non-rigid structure recovery from monocular video sequences, with a view to support analysis and understanding of complex dynamic scene.

        戴玉超博士現為澳大利亞國立大學工程研究院ARC DECRA學者。師從西北工業大學何明一教授,他分別于2005、20082012年獲得信號與信息處理學科學士、碩士博士學位。2008年至2009年受國家留學基金委資助赴澳大利亞國立大學聯合培養,對方導師為幾何計算機視覺的奠基者Richard Hartley教授。他的研究方向包括結構與運動恢復、多視角幾何、人機交互、壓縮感知和最優化等。他先后在計算機視覺領域的頂級期刊和會議如IEEE模式分析與機器智能(TPAMI)、國際計算機視覺期刊(IJCV)、國際計算機視覺大會(ICCV)、IEEE計算機視覺與模式識別會議(CVPR)和歐洲計算機視覺會議(ECCV)等發表論文多篇。他與何明一教授和澳大利亞國立大學Hongdong Li副教授合作完成在非剛性結構與運動恢復方面的研究工作獲得CVPR 2012最佳論文獎(大陸高校28年來首次獲得該獎項)。近期他的研究工作致力于通過單目視頻序列進行復雜動態場景的分析和理解。

        通訊地址:陜西省西安市友誼西路127號西北工業大學電子信息學院  郵編:710072;聯系電話:029-8843-1206 
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