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» Learning the 2-D Topology of Images
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ICPR
2010
IEEE
13 years 12 months ago
A Fast Extension for Sparse Representation on Robust Face Recognition
We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whil...
Hui-Ning Qiu, Duc-Son Pham, Wanquan Liu, Svetha Ve...
ECCV
2002
Springer
14 years 11 months ago
Learning the Topology of Object Views
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
Christoph von der Malsburg, Jan Wieghardt, Rolf P....
ICPR
2010
IEEE
14 years 2 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
ICIP
2007
IEEE
14 years 11 months ago
Determining Topology in a Distributed Camera Network
Recently, `entry/exit' events of objects in the field-of-views of cameras were used to learn the topology of the camera network. The integration of object appearance was also...
Xiaotao Zou, Bir Bhanu, Bi Song, Amit K. Roy Chowd...
SIP
2001
13 years 11 months ago
Marching ridges
Marching Ridges is an algorithm for finding ridges of measurement functions defined for images, in which the ridges are defined as level sets of first derivatives of the measureme...
Jacob D. Furst, Stephen M. Pizer