Focus-of-Attention from Local Color Symmetries

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

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Heidemann, Gunther
Abstract / Bemerkung
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.
Erscheinungsjahr
2004
Zeitschriftentitel
IEEE Transactions on Pattern Analysis and Machine Intelligence
Band
26
Ausgabe
7
Seite(n)
817-830
ISSN
0162-8828
Page URI
https://pub.uni-bielefeld.de/record/2714429

Zitieren

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. doi:10.1109/TPAMI.2004.29
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.

13 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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