71 search results - page 12 / 15 » Object Class Recognition Using SIFT and Bayesian Networks |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
NIPS
1992
13 years 8 months ago
1992
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
BMCBI
2008
13 years 7 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Publication
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...