A FAST LINE FINDER FOR VISION-GUIDED ROBOT NAVIGATION

被引：80

作者：

KAHN, P ^{[1
]}

KITCHEN, L ^{[1
]}

RISEMAN, EM ^{[1
]}

机构：

[1] UNIV MASSACHUSETTS,DEPT COMP & INFORMAT SCI,COMP VIS RES LAB,AMHERST,MA 01003

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 11期

关键词：

Computer vision; knowledge-directed vision processing; line extraction; vision-guided navigation;

D O I：

10.1109/34.61710

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There are two basic ways to improve the speed of a low-level vision algorithm: careful code optimization and selective processing. Reducing the computational effort expended on each pixel reduces the time required to process an image by a constant factor. Selective processing on a limited portion of an image using a focus of attention can decrease overall computation by orders of magnitude. This correspondence develops a fast pixel-based algorithm that uses these principles to achieve fast extraction of lines for use in vision-guided mobile robot navigation. It builds upon an algorithm for extracting lines by grouping pixels with similar gradient orientation [3]. It allows parametric control of computational resources required to extract lines with particular characteristics. © 1990 IEEE

引用

页码：1098 / 1102

页数：5

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