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Abstract: The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape-saliency of the local neighborhood. The majority of these detectors is luminance based which has the disadvantage that the distinctiveness of the local color information is completely ignored in determining salient image features. To fully exploit the possibilities of salient point detection in... (Update)
Active bibliography (related documents): More All
3.2: Boosting Saliency in Color Image Features - Van De Weijer (Correct)
0.8: Robust Photometric Invariant Features from the Color Tensor - Weijer, Gevers, Smeulders (2004) (Correct)
0.4: Tensor Based Feature Detection for Color Images - Weijer, Gevers (2004) (Correct)
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0.2: Color Mode Filtering - Van De Weijer (2001) (Correct)
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0.2: Color Edge Detection by Photometric Quasi-Invariants - Van De Weijer (2003) (Correct)
BibTeX entry: (Update)
@misc{ weijer-boosting,
author = "J. van de Weijer and Th. Gevers and A.D. Bagdanov",
title = "Boosting Color Saliency in Image Feature Detection",
url = "citeseer.ist.psu.edu/vandeweijer05boosting.html" }
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2 Computation modeling of visual attention (context) - Itti, Koch et al. - 2001
2 Edge and corner detection by photometric quasi-invariants - Weijer, Gevers et al. - 2005
1 Robust photometric invariant features from the color tensor - Weijer, Gevers et al. - 2004
1 Grouping into regions, curves, and junctions - Lee, Medioni - 1999
Documents on the same site (http://lear.inrialpes.fr/people/vandeweijer/pubs): More
Robust Optical Flow from Photometric Invariants - Van De Weijer (2004) (Correct)
Color Edge Detection by Photometric Quasi-Invariants - Weijer, Gevers, Geusebroek (2003) (Correct)
Boosting Saliency in Color Image Features - Van De Weijer (Correct)
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