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» Novel image feature alphabets for object recognition
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ICIP
2009
IEEE
15 years 11 months ago
Localized Null Space Representation For Dynamic Updating And Downdating In Image And Video Databases
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
CVPR
2009
IEEE
16 years 4 months ago
Image Deblurring for Less Intrusive Iris Capture
For most iris capturing scenarios, captured iris images could easily blur when the user is out of the depth of field (DOF) of the camera, or when he or she is moving. The common...
Xinyu Huang (University of Kentucky), Liu Ren (Rob...
ICDAR
2011
IEEE
13 years 9 months ago
Character n-Gram Spotting in Document Images
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
M. Sudha Praveen, K. Pramod Sankar, C. V. Jawahar
SLSFS
2005
Springer
15 years 3 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
CVPR
2006
IEEE
15 years 11 months ago
A Conic Section Classifier and its Application to Image Datasets
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
Arunava Banerjee, Santhosh Kodipaka, Baba C. Vemur...