258 search results - page 22 / 52 » Using Co-Occurrence and Segmentation to Learn Feature-Based ... |
131
Voted
TNN
2008
15 years 2 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
133
click to vote
MICCAI
2004
Springer
16 years 3 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
139
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
175
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...
153
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...