Title :
Fuzzy spline interpolation and its application to online freehand curve identification
Author :
Saga, Sato ; Makino, Hiromi
Author_Institution :
TECNOVA Corp., Sapporo, Japan
Abstract :
A technique called fuzzy spline interpolation is first introduced to handle curves which involve vagueness in their potential information. Then, the fuzzy spline curve identifier (FSCI), which performs online identification of free-hand curves based on the fuzzy spline interpolation technique, is proposed. FSCI identifies a freehand curve as a sequence of curve segments each of which is categorized into one of seven fundamental curve classes: line, circle, circular arc, ellipse, elliptic arc, closed free curve, or open free curve. Because FSCI uses fuzzy approaches and allows for vagueness in drawing, it works as a flexible and effective human interface for use with pen and tablet systems
Keywords :
curve fitting; fuzzy set theory; interpolation; splines (mathematics); circular arc; closed free curve; curve segments; ellipse; elliptic arc; fundamental curve classes; fuzzy spline interpolation; human interface; online freehand curve identification; open free curve; Computer interfaces; Contracts; Fuzzy systems; Humans; Inference mechanisms; Interpolation; Power capacitors; Shape; Spline;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327560