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Issue No.07 - July (2004 vol.26)
pp: 817-830
ABSTRACT
<p><b>Abstract</b>—In this paper, a continuous valued measure for local color symmetry is introduced. The new algorithm is an extension of the successful gray value-based symmetry map proposed by Reisfeld et al. The use of color facilitates the detection of <it>focus points</it> (FPs) on objects that are difficult to detect using gray-value contrast only. The detection of FPs is aimed at guiding the attention of an object recognition system; therefore, FPs have to fulfill three major requirements: stability, distinctiveness, and usability. The proposed algorithm is evaluated for these criteria and compared with the gray value-based symmetry measure and two other methods from the literature. Stability is tested against noise, object rotation, and variations of lighting. As a measure for the distinctiveness of FPs, the principal components of FP-centered windows are compared with those of windows at randomly chosen points on a large database of natural images. Finally, usability is evaluated in the context of an object recognition task.</p>
INDEX TERMS
Focus-of-attention, color vision, symmetry, saliency maps, object recognition.
CITATION
Gunther Heidemann, "Focus-of-Attention from Local Color Symmetries", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.26, no. 7, pp. 817-830, July 2004, doi:10.1109/TPAMI.2004.29
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