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» A Bayesian approach for image segmentation with shape priors
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EMMCVPR
2007
Springer
14 years 2 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
PAMI
2002
149views more  PAMI 2002»
13 years 8 months ago
Region Tracking via Level Set PDEs without Motion Computation
Tracking regions in an image sequence is a challenging and di cult problem in image processing and computer vision, and at the same time, one that has many important applications:...
Abdol-Reza Mansouri
TOG
2008
116views more  TOG 2008»
13 years 8 months ago
A photometric approach for estimating normals and tangents
This paper presents a technique for acquiring the shape of realworld objects with complex isotropic and anisotropic reflectance. Our method estimates the local normal and tangent ...
Michael Holroyd, Jason Lawrence, Greg Humphreys, T...
ICPR
2008
IEEE
14 years 3 months ago
A bottom-up, view-point invariant human detector
We propose a bottom-up human detector that can deal with arbitrary poses and viewpoints. Heads, limbs and torsos are individually detected, and an efficient assembly strategy is u...
Nicolas Thome, Sebastien Ambellouis
ICDAR
2009
IEEE
13 years 6 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...