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CVPR
2008
IEEE
15 years 11 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CVPR
2007
IEEE
15 years 11 months ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...
CVPR
2008
IEEE
15 years 11 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
ICIG
2009
IEEE
14 years 7 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
CVPR
2009
IEEE
16 years 4 months ago
P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
Interactive image segmentation traditionally involves the use of algorithms such as Graph Cuts or Random Walker. Common concerns with using Graph Cuts are metrication artifacts ...
Dheeraj Singaraju, Leo Grady, René Vidal