In this paper. we describe an algorithm to measure the shape cam plexity lor discrete approximations of planar CUNCS in 2D images and nianifold surfaces for 3D triangle meshes. We base our algorithm on shape curvature. and thus we compute s h p e inforniatinri as the entropy of curvature. We present definitions to estimate curvature for both discrete curves and surfaces and then formulate our theory of shape information from these definitions. We demonstrate our algorithm with experimental results.
In REF , Page et al. measured the shape complexity for 2D image contours and 3D triangle meshes by a shape information metric, and they proposed an algorithm to compute the metric based on curvature estimates for both discrete curves and surfaces.
Shape analysis algorithm based on information theory
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Computer Science