780 search results - page 16 / 156 » Learning Mid-Level Features For Recognition |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We are interested in identifying the material category, e.g. glass, metal, fabric, plastic or wood, from a single image of a surface. Unlike other visual recognition tasks in comp...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edgedetectors ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be ...