ALGEBRAIC ERROR ANALYSIS FOR SURFACE CURVATURES AND SEGMENTATION OF 3-D RANGE IMAGES

被引：14

作者：

ABDELMALEK, NN

机构：

[1] Division of Electrical Engineering, National Research Council of Canada, Ottawa

来源：

PATTERN RECOGNITION | 1990年 / 23卷 / 08期

关键词：

Algebraic error analysis; Gaussian and mean curvatures; Random noise; Range images; Shape and 3-D description; Surface segmentation;

D O I：

10.1016/0031-3203(90)90128-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is divided into two parts. In the first part an algebraic error analysis for the calculated surface Gaussian and mean curvatures of 3-D range images is presented. The error analysis results are used to illustrate the effect of noise on the segmentation of range images using the curvature 8-sign label scheme. In the second part a segmentation procedure for 3-D range images based on conclusions deducted from the first part is proposed. In this procedure, jump edges are first obtained. Then a curvature 3-sign label scheme is used for the segmentation. A simple method is used to check the boundary points between segmentation patches. If a boundary point lies on a planar region it is deleted. In the planarity test we use some of the intermediate results from the first part of the paper. Experimental results and comments are given. © 1990.

引用

页码：807 / 817

页数：11

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