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CVPR
2005
IEEE
14 years 6 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik
DICTA
2003
13 years 5 months ago
A New Shape Matching Measure for Nonlinear Distorted Object Recognition
In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the correspondi...
Sanun Srisuk, Marut Tamsri, Rerkchai Fooprateepsir...
IJCV
2006
115views more  IJCV 2006»
13 years 4 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
IBPRIA
2005
Springer
13 years 10 months ago
Discriminative Face Recognition Through Gabor Responses and Sketch Distortion
We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural...
Daniel González-Jiménez, José...
ICIP
2008
IEEE
14 years 6 months ago
LASIC: A model invariant framework for correspondence
In this paper we address two closely related problems. The first is the object detection problem, i.e., the automatic decision of whether a given image represents a known object o...
Bernardo Rodrigues Pires, João Xavier, Jos&...