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CVPR
1996
IEEE
15 years 3 months ago
Connectionist networks for feature indexing and object recognition
Feature indexing techniques are promising for object recognition since they can quickly reduce the set of possible matches for a set of image features. This work exploits another ...
Clark F. Olson
AAAI
1996
15 years 18 days ago
A Hybrid Learning Approach for Better Recognition of Visual Objects
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
Ibrahim F. Imam, Srinivas Gutta
ICRA
2010
IEEE
118views Robotics» more  ICRA 2010»
14 years 9 months ago
Tactile object class and internal state recognition for mobile manipulation
— Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. In this work, we present a tactile perception strategy that a...
Sachin Chitta, Matthew Piccoli, Jürgen Sturm
ICPR
2010
IEEE
14 years 9 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
CVPR
1996
IEEE
16 years 1 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr