Evaluation of a hypothesizer for silhouette-based 3-D object recognition

被引：13

作者：

Super, BJ ^{[1
]}

Lu, H ^{[1
]}

机构：

[1] Univ Illinois, Dept Comp Sci, Comp Vis & Robot Lab, Chicago, IL 60607 USA

来源：

PATTERN RECOGNITION | 2003年 / 36卷 / 01期

关键词：

object recognition; hypothesis generation; silhouette; view-based; scale-space; index vector; structural indexing; shape retrieval;

D O I：

10.1016/S0031-3203(02)00023-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Shape retrieval and shape-based object recognition are closely related problems; however, they have different task contexts, performance criteria, and database characteristics. In previous work, we proposed a method for similarity-based 2-D shape retrieval using scale-space part decompositions, part-frequency distributions, and structural indexing. In this paper, we evaluate the use of that shape retrieval method as the hypothesis generation component of silhouette-based 3-D object recognition systems, using a performance criterion and test database appropriate for the new application. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：69 / 78

页数：10

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