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» Iterative context compilation for visual object recognition
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CVPR
2007
IEEE
14 years 10 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
ICIP
2009
IEEE
14 years 9 months ago
On The Role Of Context In Probabilistic Models Of Visual Saliency
In recent years, many principled probabilistic definitions for the determination of visual saliency have been proposed. Moreover, there has been increased focus on the role of con...
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
14 years 1 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
ICCV
2007
IEEE
14 years 10 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ACIVS
2006
Springer
13 years 11 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho