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Comments on "Symmetry as a Continuous Feature"
March 1997 (vol. 19 no. 3)
pp. 246-247

Abstract—We point out the existence of a theoretical difficulty that underlies the symmetry detection studied by Zabrodsky et al. [4] and present a possible solution to it.

[1] H. Akaike, A New Look at the Statistical Model Identification IEEE Trans. Automatic Control, vol. 19, no. 6, pp. 716-723, 1974.
[2] K. Kanatani, "Automatic Singularity Test for Motion Analysis by an Information Criterion," Proc. Fourth European Conf. Computer Vision, vol. 1, pp. 697-708, Apr. 1996,Cambridge, U.K.
[3] K. Kanatani, Statistical Optimization for Geometric Computation: Theory and Practice.Amsterdam: Elsevier Science, 1996.
[4] H. Zabrodsky, S. Peleg, and D. Avnir, "Symmetry as a Continuous Feature," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, pp. 1,154-1,166, 1995.

Index Terms:
Symmetry detection, shape classification, pattern recognition, geometric AIC, statistical analysis.
Citation:
Kenichi Kanatani, "Comments on "Symmetry as a Continuous Feature"," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 3, pp. 246-247, March 1997, doi:10.1109/34.584101
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