DocumentCode
327795
Title
Multiscale compression of planar curves using constant curvature segments
Author
Mokhtari, Marielle ; Bergevin, Robert
Author_Institution
Dept. of Electr. & Comput. Eng., Laval Univ., Ste-Foy, Que., Canada
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
744
Abstract
Proposes an approach to finding minimal descriptions of planar curves (open or closed) as sets of constant curvature segments (primitives such as straight line segments and/or circular arcs). The algorithm proceeds according to a multiscale segmentation and approximation of curves, and an intra- and inter-scale classification of this overall process. Its ultimate goal is to find a set of adequate pairs composed of one scale and one or several set(s) of constant curvature segments to best describe the shape of a curve
Keywords
approximation theory; data compression; image coding; image segmentation; circular arcs; constant curvature segments; inter-scale classification; intra-scale classification; minimal descriptions; multiscale compression; multiscale segmentation; planar curves; straight line segments; Approximation algorithms; Computational geometry; Computer vision; Databases; Laboratories; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711253
Filename
711253
Link To Document