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» Markov Random Field Modeling in Computer Vision
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ICCV
2003
IEEE
14 years 11 months ago
Graph Partition by Swendsen-Wang Cuts
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
Adrian Barbu, Song Chun Zhu
ECCV
2000
Springer
14 years 11 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ACCV
2006
Springer
14 years 3 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
CVPR
1998
IEEE
14 years 11 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran