Shape analysis algorithm based on information theory

被引：0

作者：

Page, DL ^{[1
]}

Kòschan, AF ^{[1
]}

Sukumar, SR ^{[1
]}

Roui-Abidi, B ^{[1
]}

Abidi, MA ^{[1
]}

机构：

[1] Univ Tennessee, Imaging Robot & Intelligent Syst Lab, Knoxville, TN 37996 USA

来源：

2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

In this paper, we describe an algorithm to measure the shape complexity for discrete approximations of planar curves in 2D images and manifold surfaces for 3D triangle meshes. We base our algorithm on shape curvature, and thus we compute shape information 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.

引用

页码：229 / 232

页数：4

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