190 search results - page 4 / 38 » Unsupervised Learning of Object Deformation Models |
136
Voted
ECCV
2000
Springer
16 years 4 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
118
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
182
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Autonomous systems which learn and utilize a limited
visual vocabulary have wide spread applications.
Enabling such systems to segment a set of cluttered scenes
into objects is ...
157
click to vote
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
192
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...