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» Algorithm Visualization: The State of the Field
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CVPR
2003
IEEE
16 years 5 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
PAMI
2010
248views more  PAMI 2010»
15 years 1 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
ESANN
2004
15 years 4 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
CGI
2004
IEEE
15 years 7 months ago
An Efficient Central Path Algorithm for Virtual Navigation
We give an efficient, scalable, and simple algorithm for computation of a central path for navigation in closed virtual environments. The algorithm requires less preprocessing and...
Parag Chaudhuri, Rohit Khandekar, Deepak Sethi, Pr...