MODEL-BASED OBJECT RECOGNITION IN DENSE-RANGE IMAGES - A REVIEW

被引：140
作者：
ARMAN, F [1 ]
AGGARWAL, JK [1 ]
机构：
[1] UNIV TEXAS, DEPT ELECT & COMP ENGN, COMP & VIS RES CTR, AUSTIN, TX 78712 USA
来源：
COMPUTING SURVEYS | 1993年 / 25卷 / 01期
关键词：
CAD-BASED VISION; DENSE-RANGE IMAGES; IMAGE UNDERSTANDING; 3D OBJECT RECOGNITION; 3D REPRESENTATIONS;
D O I：
10.1145/151254.151255
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The goal in computer vision systems is to analyze data collected from the environment and derive an interpretation to complete a specified task. Vision system tasks may be divided into data acquisition, low-level processing, representation, model construction, and matching subtasks. This paper presents a comprehensive survey of model-based vision systems using dense-range images. A comprehensive survey of the recent publications in each subtask pertaining to dense-range image object recognition is presented.
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页码：5 / 43
页数：39
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