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» Enhancements for Local Feature Based Image Classification
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CISST
2004
164views Hardware» more  CISST 2004»
13 years 9 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
JUCS
2006
83views more  JUCS 2006»
13 years 7 months ago
Ridge Orientation Estimation and Verification Algorithm for Fingerprint Enhancement
: Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering t...
Li-min Liu, Tian-Shyr Dai
MM
2006
ACM
152views Multimedia» more  MM 2006»
14 years 1 months ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
CVPR
2003
IEEE
14 years 9 months ago
Shape-based Recognition Of Wiry Objects
We present an approach to the recognition of complexshaped objects in cluttered environments based on edge cues. We first use example images of the desired object in typical backg...
Owen T. Carmichael, Martial Hebert
IPMI
2001
Springer
14 years 8 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...