ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P6.8
Session:Color and Multispectral Processing
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Color and Multispectral Processing: Color processing
Title: BLUR ROBUST AND COLOR CONSTANT IMAGE DESCRIPTION
Authors: Joost van de Weijer; INRIA Rhône-Alpes 
 Cordelia Schmid; INRIA Rhône-Alpes 
Abstract: An important class of color constant image descriptors is based on image derivatives. These derivative-based image descriptors have a major drawback: they are very sensitive to changes of image blur. Image blur has various causes such as being out-of-focus, relative motion between the camera and the object, and inaccurate acquisition settings. Since image blur is a frequently occurring image degradation, it is desirable for object description to be robust to its variations. In this article we propose a set of color descriptors which are both robust with respect to blurring effects, and invariant to illuminant color changes. Experiments on retrieval tasks show that the newly proposed object descriptors outperform existing descriptors in the presence of blurring effects.