Focus-of-Attention from Local Color Symmetries

Heidemann G (2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence 26(7): 817-830.

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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 focus points (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.
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Heidemann G. Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2004;26(7):817-830.
Heidemann, G. (2004). Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(7), 817-830.
Heidemann, G. (2004). Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 817-830.
Heidemann, G., 2004. Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(7), p 817-830.
G. Heidemann, “Focus-of-Attention from Local Color Symmetries”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, 2004, pp. 817-830.
Heidemann, G.: Focus-of-Attention from Local Color Symmetries. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 817-830 (2004).
Heidemann, Gunther. “Focus-of-Attention from Local Color Symmetries”. IEEE Transactions on Pattern Analysis and Machine Intelligence 26.7 (2004): 817-830.
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