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
收藏
页码：69 / 78
页数：10
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