DocumentCode :
3437269
Title :
To FRAME or not to FRAME in probabilistic texture modelling?
Author :
Farb, Georgy Gimel ; Van Gool, Luc ; Zalesny, Alexey
Author_Institution :
Dept. of Comput. Sci., Auckland Univ., New Zealand
Volume :
2
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
707
Abstract :
The maximum entropy principle is a cornerstone of FRAME (filters, random fields, and maximum entropy) model considered at times as a first-ever step towards a universal theory of texture modelling or even as "the inevitable texture model". This paper disputes such opinions. That a wealth of exponential families of probability distributions is deduced from the ME principle is well known for decades. The ME properly by itself in no way leads to an adequate probabilistic description, and to model a particular texture, specific limitations have to be imposed on signal statistics. Frequency distributions of outputs from a bank of linear filters (the second FRAME\´S cornerstone) are hardly the only choice outperforming all other alternatives. The paper points also to other hidden drawbacks of FRAME.
Keywords :
filters; image texture; maximum entropy methods; statistical distributions; filter; frequency distribution; maximum entropy principle; probabilistic texture modelling; probability distribution; random field; Computer science; Entropy; Filter bank; Filtering theory; Frequency; Nonlinear filters; Probability distribution; Solid modeling; Statistical distributions; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334357
Filename :
1334357
Link To Document :
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