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

Authors
ARMAN F AGGARWAL JK
Citation
F. Arman et Jk. Aggarwal, MODEL-BASED OBJECT RECOGNITION IN DENSE-RANGE IMAGES - A REVIEW, ACM computing surveys, 25(1), 1993, pp. 5-43
Citations number
167
Journal title
ACM computing surveys → ACNP
ISSN journal
03600300
Volume
25
Issue
1
Year of publication
1993
Pages
5 - 43
Database
ISI
SICI code
0360-0300(1993)25:1<5:MORIDI>2.0.ZU;2-1
Abstract
The goal in computer vision systems is to analyze data collected from the environment and derive an interpretation to complete a specified t ask. Vision system tasks may be divided into data acquisition, low-lev el processing, representation, model construction, and matching subtas ks. This paper presents a comprehensive survey of model-based vision s ystems using dense-range images. A comprehensive survey of the recent publications in each subtask pertaining to dense-range image object re cognition is presented.