890 search results - page 22 / 178 » Learning Generic Prior Models for Visual Computation |
190
click to vote
CVPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/t...
175
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
167
click to vote
NECO
2011
14 years 11 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
158
click to vote
ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
143
click to vote
ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...