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» Object recognition using graph spectral invariants
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ICPR
2008
IEEE
14 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
ICB
2007
Springer
238views Biometrics» more  ICB 2007»
14 years 27 days ago
Keypoint Identification and Feature-Based 3D Face Recognition
We present a feature-based 3D face recognition algorithm and propose a keypoint identification technique which is repeatable and identifies keypoints where shape variation is high ...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
MM
2006
ACM
119views Multimedia» more  MM 2006»
14 years 3 months ago
Model generation for video-based object recognition
This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...
DAM
1998
85views more  DAM 1998»
13 years 8 months ago
Separability Generalizes Dirac's Theorem
In our study of the extremities of a graph, we define a moplex as a maximal clique module the neighborhood of which is a minimal separator of the graph. This notion enables us to...
Anne Berry, Jean Paul Bordat
TCSV
2008
202views more  TCSV 2008»
13 years 9 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao