A methodology for pattern matching of complex objects

作者:

Highlights:

摘要

A complex object is an entity made up of movable subparts. This paper presents a method to recognize and determine the position and orientation of an observed complex object with respect to a database of known objects. Each database complex object is described by a special type of relational graph, which guides a localized matching algorithm to determine the position and orientation of each complex object subpart. The feasibility of the assignments based on the kinematics of the subparts is then determined. Global assignments are made based on the feasibility of the local assignments.

论文关键词:Pattern matching,Computer vision,Kinematics,Object representation,Relational graph

论文评审过程:Received 16 March 1989, Revised 6 April 1989, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(90)90012-A