Title :
Shape partitioning by convexity
Author_Institution :
Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge, UK
fDate :
3/1/2000 12:00:00 AM
Abstract :
The partitioning of two dimensional (2-D) shapes into subparts is an important component of shape analysis. The paper defines a formulation of convexity as a criterion of good part decomposition. Its appropriateness is validated by applying it to some simple shapes as well as against showing its close correspondence with Hoffman and Singh´s (1997) part saliency factors
Keywords :
computer vision; image segmentation; optimisation; 2D shapes; convexity; part decomposition; part saliency factors; shape analysis; shape partitioning; Art; Biology computing; Computer architecture; Computer vision; Neck; Psychology; Shape; Skeleton; Two dimensional displays; Visual perception;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.833102
