Recognition and matching of occluded objects

P. M. Griffin; J. R. Villalobos; J. W. Foster

doi:10.1007/BF02601525

Recognition and matching of occluded objects

P. M. Griffin, J. R. Villalobos, J. W. Foster

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a method for both recognising and determining the position and orientation of occluded objects. The method works by determining the extreme points of the collection of objects, and then matching these points to a database of known objects using point-pattern matching. The results of the method are insensitive to both noise and affine transformations. Computer-vision examples are given.

Original language	English (US)
Pages (from-to)	263-268
Number of pages	6
Journal	The International Journal of Advanced Manufacturing Technology
Volume	4
Issue number	3
DOIs	https://doi.org/10.1007/BF02601525
State	Published - Aug 1 1989
Externally published	Yes

Keywords

Occluded objects
Orientation
Pattern matching
Position vector
Recognition
Vertex finding

ASJC Scopus subject areas

Control and Systems Engineering
Software
Mechanical Engineering
Computer Science Applications
Industrial and Manufacturing Engineering

Access to Document

10.1007/BF02601525

Cite this

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abstract = "This paper presents a method for both recognising and determining the position and orientation of occluded objects. The method works by determining the extreme points of the collection of objects, and then matching these points to a database of known objects using point-pattern matching. The results of the method are insensitive to both noise and affine transformations. Computer-vision examples are given.",

keywords = "Occluded objects, Orientation, Pattern matching, Position vector, Recognition, Vertex finding",

author = "Griffin, {P. M.} and Villalobos, {J. R.} and Foster, {J. W.}",

year = "1989",

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AU - Villalobos, J. R.

AU - Foster, J. W.

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N2 - This paper presents a method for both recognising and determining the position and orientation of occluded objects. The method works by determining the extreme points of the collection of objects, and then matching these points to a database of known objects using point-pattern matching. The results of the method are insensitive to both noise and affine transformations. Computer-vision examples are given.

AB - This paper presents a method for both recognising and determining the position and orientation of occluded objects. The method works by determining the extreme points of the collection of objects, and then matching these points to a database of known objects using point-pattern matching. The results of the method are insensitive to both noise and affine transformations. Computer-vision examples are given.

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KW - Orientation

KW - Pattern matching

KW - Position vector

KW - Recognition

KW - Vertex finding

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ER -

Recognition and matching of occluded objects

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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