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» Fine-grained object recognition in underwater visual data
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VMV
2001
178views Visualization» more  VMV 2001»
13 years 6 months ago
Consistent Visual Information Processing Applied to Object Recognition Landmark Definition and Real-Time Tracking
The handling of situations where multiple visual information occurs requires the fusion of visual information. This is a very common task found in the processing of multisource / ...
Axel Pinz
CVPR
2008
IEEE
14 years 7 months ago
Unifying discriminative visual codebook generation with classifier training for object category recognition
The idea of representing images using a bag of visual words is currently popular in object category recognition. Since this representation is typically constructed using unsupervi...
Liu Yang, Rong Jin, Rahul Sukthankar, Fréd&...
ICMCS
2009
IEEE
110views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Visual content layer for scalable object recognition in urban image databases
Rich online map interaction represents a useful tool to get multimedia information related to physical places. With this type of systems, users can automatically compute the optim...
Xavier Baró, Sergio Escalera, Petia Radeva,...
CVPR
2007
IEEE
14 years 7 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce
ECCV
2006
Springer
14 years 6 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher