141 search results - page 17 / 29 » LOCUS: Learning Object Classes with Unsupervised Segmentatio... |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
CVPR
2010
IEEE
14 years 7 days ago
2010
IEEE
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Purely bottom-up, unsupervised segmentation of a single
image into two segments remains a challenging task for
computer vision. The co-segmentation problem is the process
of joi...
CVPR
2005
IEEE
14 years 9 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...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...