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

Crumple

Opponent

說笑

DEVIL

Robust Object Tracking Using Constellation Model with Superpixelopose a constellation appearance model with multiple parts which is adaptable to appearance variations. A particle-based approximate inference algorithm over the DBN is proposed for tracking. Experimental results show that the proposed algorithm performs favorably against existing object trackers especially during deformation and occlusion.

optional

Robust and Efficient Pose Estimation from Line Correspondencesof the proposed method are as follows: (1) it stably retrieves the optimum of the solution with very little computational complexity and high accuracy; (2) small line sets can be robustly handled to achieve highly accurate results and; (3) large line sets can be efficiently handled because it is O(n).

Harass

Conference proceedings 2013ture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

冬眠

Urea508

Incorporate

quiet-sleep

The Development of Prime Number Theorytested on Middlebury dataset and the sequences captured by KINECT. Experiment results show that it can estimate dense and accurate scene flow in challenging environments and keep the discontinuity around motion boundaries.