DocumentCode :
1462347
Title :
Comments on "Nonparametric segmentation of curves into various representations" [with reply]
Author :
Kanatani, Kenichi ; Rosin, P.L. ; West, G.A.W.
Author_Institution :
Dept. of Comput. Sci., Gunma Univ., Japan
Volume :
19
Issue :
12
fYear :
1997
Firstpage :
1391
Lastpage :
1394
Abstract :
The author points out the existence of a theoretical difficulty that underlies the curve segmentation problem studied in the work of Rosin and West (ibid., vol.17, no.12, p.1140-53, 1995) and present a possible solution to it. The problem arises because curves are segmented into low- and high-order features, and the former are a subset of the latter. In reply, Rosin and West discuss the advantages and disadvantages of two approaches to model selection: their original heuristic sequential method, and the information theoretic method suggested by Kanatani and others.
Keywords :
curve fitting; heuristic programming; image segmentation; information theory; curve representation; curve segmentation; heuristic sequential method; high-order features; information theoretic method; low-order features; nonparametric segmentation; Computer science; Curve fitting; Length measurement; Pattern recognition;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.643901
Filename :
643901
Link To Document :
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