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» Markov Random Field Modeling in Computer Vision
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ICCV
2007
IEEE
14 years 3 months ago
Deformable Template As Active Basis
This article proposes an active basis model and a shared pursuit algorithm for learning deformable templates from image patches of various object categories. In our generative mod...
Ying Nian Wu, Zhangzhang Si, Chuck Fleming, Song C...
ECCV
2008
Springer
14 years 11 months ago
Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps
Abstract. We introduce a novel behavioral model to describe pedestrians motions, which is able to capture sophisticated motion patterns resulting from the mixture of different cate...
Jérôme Berclaz, François Fleur...
CVPR
2009
IEEE
15 years 4 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
CVPR
2009
IEEE
15 years 4 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
CVPR
2001
IEEE
14 years 11 months ago
Issues on the Geometry of Central Catadioptric Image Formation
An imaging system with a single effective viewpoint is called a central projection system. The conventional perspective camera is an example of a central projection system. System...
João P. Barreto, Helder Araújo