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» Object recognition using graph spectral invariants
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CVPR
2008
IEEE
14 years 9 months ago
From skeletons to bone graphs: Medial abstraction for object recognition
letons to Bone Graphs: Medial Abstraction for Object Recognition Diego Macrini University of Toronto Kaleem Siddiqi McGill University Sven Dickinson University of Toronto Medial d...
Diego Macrini, Kaleem Siddiqi, Sven J. Dickinson
ICIAP
2007
ACM
14 years 7 months ago
A Method for Blur and Similarity Transform Invariant Object Recognition
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Janne Heikkilä, Ville Ojansivu
DAGSTUHL
2006
13 years 9 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
CORR
2010
Springer
198views Education» more  CORR 2010»
13 years 4 months ago
Convex Graph Invariants
The structural properties of graphs are usually characterized in terms of invariants, which are functions of graphs that do not depend on the labeling of the nodes. In this paper ...
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. W...
NIPS
2004
13 years 9 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes