Title :
Towards a hierarchical contour description via dominant point detection
Author :
Held, Andreas ; Abe, Keiichi ; Arcelli, Carlo
Author_Institution :
Graduate Sch. of Electron. Sci. & Technol., Shizuoka Univ., Hamamatsu, Japan
fDate :
6/1/1994 12:00:00 AM
Abstract :
An algorithm for the detection of dominant points and for building a hierarchical approximation of a digital curve is proposed. The algorithm does not require any parameter tuning and is shown to perform well for a wide variety of shapes, including scaled and rotated ones. Dominant points are first located by a coarse-to-fine detector scheme. They constitute the vertices of a polygon closely approximating the curve. Then, a criterion of perceptual significance is used to repeatedly remove suitable vertices until a stable polygonal configuration, the contour sketch, is reached. A highly compressed hierarchical description of the shape also becomes available
Keywords :
approximation theory; computational geometry; edge detection; coarse-to-fine detector; contour sketch; digital curve; dominant point detection; hierarchical approximation; hierarchical contour description; perceptual significance criterion; polygon; Algebra; Automatic control; Computational efficiency; Concurrent computing; Jacobian matrices; Manipulators; Robot control; Robot kinematics; Robotics and automation; Torque control;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on