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» Application of Level Set Methods in Computer Vision
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CVPR
2003
IEEE
16 years 9 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
CVPR
2006
IEEE
16 years 9 months ago
A Planar Light Probe
We develop a novel technique for measuring lighting that exploits the interaction of light with a set of custom BRDFs. This enables the construction of a planar light probe with c...
Neil G. Alldrin, David J. Kriegman
CVPR
2006
IEEE
16 years 9 months ago
Learning Object Shape: From Drawings to Images
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
Gal Elidan, Geremy Heitz, Daphne Koller
CVPR
2008
IEEE
16 years 9 months ago
A Bayesian approach for image segmentation with shape priors
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this pa...
Hang Chang, Qing Yang, Bahram Parvin
ICCV
2007
IEEE
16 years 9 months ago
Retrieving actions in movies
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
Ivan Laptev, Patrick Pérez