An experimental comparison of range image segmentation algorithms

被引：467

作者：

Hoover, A

JeanBaptiste, G

Jiang, XY

Flynn, PJ

Bunke, H

Goldgof, DB

Bowyer, K

Eggert, DW

Fitzgibbon, A

Fisher, RB

机构：

[1] UNIV BERN,INST INFORMAT,BERN,SWITZERLAND

[2] WASHINGTON STATE UNIV,SCH ELECT ENGN & COMP SCI,PULLMAN,WA 99164

[3] UNIV EDINBURGH,DEPT ARTIFICIAL INTELLIGENCE,EDINBURGH EH1 2QL,MIDLOTHIAN,SCOTLAND

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1996年 / 18卷 / 07期

基金：

美国国家航空航天局; 美国国家科学基金会; 英国工程与自然科学研究理事会;

关键词：

experimental comparison of algorithms; range image segmentation; low level processing; performance evaluation;

D O I：

10.1109/34.506791

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves 1) a common set of 40 laser range finder images and 40 structured light scanner images that have manually specified ground truth and 2) a set of defined performance metrics for instances of correctly segmented, missed, and noise regions, over- and under-segmentation, and accuracy of the recovered geometry. A tool is used to objectively compare a machine generated segmentation against the specified ground truth. Four research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.

引用

页码：673 / 689

页数：17

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