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» Adaptative Markov Random Fields for Omnidirectional Vision
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CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu
CVPR
1999
IEEE
13 years 11 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
ECCV
2010
Springer
13 years 11 months ago
Lighting and Pose Robust Face Sketch Synthesis
Automatic face sketch synthesis has important applications in law enforcement and digital entertainment. Although great progress has been made in recent years, previous methods onl...
ICPR
2000
IEEE
13 years 11 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
ECCV
2010
Springer
13 years 5 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan