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» Image Matching via Saliency Region Correspondences
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APGV
2005
ACM
132views Visualization» more  APGV 2005»
14 years 4 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala
ICPR
2004
IEEE
14 years 12 months ago
Finding Region Correspondences for Wide Baseline Stereo
This study addresses the problem of finding correspondences for wide baseline stereo. Texture has traditionally been utilised as a single-image cue for 3D shape reconstruction (sh...
Dmitry Chetverikov, Zoltán Megyesi, Zsolt J...
ICIP
2007
IEEE
15 years 16 days ago
salienShrink: Saliency-Based Wavelet Shrinkage
This paper describes salienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorit...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
ICCV
2001
IEEE
15 years 23 days ago
Joint Feature Distributions for Image Correspondence
We introduce `Joint Feature Distributions', a general statistical framework for feature based multi-image matching that explicitly models the joint probability distributions ...
Bill Triggs
CVPR
2008
IEEE
15 years 26 days ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo