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17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Distributed Multi-Target Tracking In A Self-Configuring Camera Network
This paper deals with the problem of tracking multiple targets in a distributed network of self-configuring pan-tilt-zoom cameras. We focus on applications where events unfold over...
Amit K. Roy Chowdhury, Bi Song, Cristian Soto
CVPR
2009
IEEE
17 years 2 months ago
Retrographic sensing for the measurement of surface texture and shape
We describe a novel device that can be used as a 2.5D “scanner” for acquiring surface texture and shape. The device consists of a slab of clear elastomer covered with a refl...
Edward H. Adelson, Micah K. Johnson
CVPR
2009
IEEE
17 years 2 months ago
The Geometry of 2D Image Signals
This paper covers a fundamental problem of local phase based signal processing: the isotropic generalization of the classical 1D analytic signal to two dimensions. The well know...
Lennart Wietzke (Kiel University), Gerald Sommer (...
CVPR
2009
IEEE
17 years 2 months ago
Global Active Contour-based Image Segmentation via Probability Alignment
Active contours is a popular technique for image segmentation. However, active contour tend to converge to the closest local minimum of its energy function and often requires a ...
Andriy Myronenko, Xubo B. Song