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Titlebook: Computer Vision -- ACCV 2012; 11th Asian Conferenc Kyoung Mu Lee,Yasuyuki Matsushita,Zhanyi Hu Conference proceedings 2013 Springer-Verlag

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發(fā)表于 2025-3-30 10:33:36 | 只看該作者
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發(fā)表于 2025-3-30 19:15:39 | 只看該作者
Multiple Target Tracking Using Frame Tripletsose a solution based on three-frame tracklets to leverage constant-velocity motion constraints while keeping computation time low. Tracklets are solved for within a sliding window of frame triplets, each having a two frame overlap with neighboring triplets. Any inconsistencies in these local trackle
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發(fā)表于 2025-3-30 20:58:31 | 只看該作者
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發(fā)表于 2025-3-31 02:09:59 | 只看該作者
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發(fā)表于 2025-3-31 08:20:42 | 只看該作者
Robust Registration-Based Tracking by Sparse Representation with Model Update illumination changes, pose variation and occlusion. A great number of papers have been presented to address this problem. Despite great advances achieved thus far, robust registration-based tracking in challenging conditions remains unsolved. This paper presents a novel method which extends the Luc
57#
發(fā)表于 2025-3-31 12:49:22 | 只看該作者
Robust and Efficient Pose Estimation from Line Correspondencesmall number and large number of line correspondences. By selecting a rotation axis in the camera framework, the reference lines are divided into triplets to form a sixteenth order cost function, and then the optimum is retrieved from the roots of the derivative of the cost function by evaluating the
58#
發(fā)表于 2025-3-31 15:39:14 | 只看該作者
59#
發(fā)表于 2025-3-31 20:12:59 | 只看該作者
Simultaneous Multiple Rotation Averaging Using Lagrangian Dualitypresent the set of rotations. To our knowledge no one has proposed any globally optimal solution for the case of simultaneous updates of the rotations. In this paper we propose a simple procedure based on Lagrangian duality that can be used to verify global optimality of a local solution, by solving
60#
發(fā)表于 2025-3-31 23:36:10 | 只看該作者
Kyoung Mu Lee,Yasuyuki Matsushita,Zhanyi HuUp-to-date results in computer vision.Fast-track conference proceedings.State-of-the-art research
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