'Unary potential' diaporamas de présentation

O BJ C UT & Pose Cut CVPR 05 ECCV 06

UNIVERSITY OF OXFORD. O BJ C UT & Pose Cut CVPR 05 ECCV 06. Philip Torr M. Pawan Kumar, Pushmeet Kohli and Andrew Zisserman. Conclusion. Combining pose inference and segmentation worth investigating. (tommorrow) Tracking = Detection Detection = Segmentation

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Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction

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Agenda

Agenda. Introduction Bag-of-words models Visual words with spatial location Part-based models Discriminative methods Segmentation and recognition Recognition-based image retrieval Datasets & Conclusions. Aim. Given an image and object category, to segment the object. Object Category

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Mean-Field Theory and Its Applications In Computer Vision6

Mean-Field Theory and Its Applications In Computer Vision6. Inference In Product Label Space. Many problem requires jointly estimating labels in product label space. Black Box Solver. Left Camera Image. Object Class Segmentation. Right Camera Image. Dense Stereo Reconstruction.

312 views • 13 slides