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» A general framework for low level vision
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CVPR
2010
IEEE
14 years 1 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
JMM2
2007
122views more  JMM2 2007»
13 years 5 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
CVPR
2004
IEEE
14 years 7 months ago
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
Grant Schindler, Frank Dellaert
DAGM
1999
Springer
13 years 9 months ago
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
CVPR
2004
IEEE
13 years 9 months ago
A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...
Jiebo Luo, Matthew R. Boutell