Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

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3D Aware Correction and Completion of Depth Maps in Piecewise Planar Sceneslem (MRF) with hard constraints and solved efficiently using graph cuts. To regularize this problem, we exploit 3D and appearance cues that encourage pixels to take on depth values that will be compatible in 3D to the piecewise planar assumption. Extensive experiments, on a new large-scale and chall

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Regularity Guaranteed Human Pose Correctionollowing divide-and-conquer strategies. By introducing the pose prior into our optimization framework, the regularity of the corrected poses is guaranteed. The experimental results on a challenging data set demonstrate that the proposed pose correction approach not only improves the accuracy, but al

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Conference proceedings 2015ACCV 2014, held in Singapore, Singapore, in November 2014..The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and

APO

Efficient Image Detail MiningT) inverted file and a geometric consistency verification sufficiently robust to prevent topic drift within a zooming search..Experiments show that the proposed method finds surprisingly fine details on landmarks, even those that are hardly noticeable for humans.

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0302-9743 vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3..978-3-319-16807-4978-3-319-16808-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2015ed from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3..

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Elena E. Grintsevich,Emil ReislerT) inverted file and a geometric consistency verification sufficiently robust to prevent topic drift within a zooming search..Experiments show that the proposed method finds surprisingly fine details on landmarks, even those that are hardly noticeable for humans.

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The Cytoskeleton and the Cytoplasmic Matrixomputational overload and to adapt the algorithm to different levels of noises. It is important to note that our optimization framework can be applied in both batch and incremental manners. Experiments on simulations and real datasets demonstrate the robustness and the efficiency of our method.

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