On the recognition of industrial parts

Yui Liang Chen; Daochuan Hung

On the recognition of industrial parts

Yui Liang Chen, Daochuan Hung

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an algorithm for representing two-dimensional shapes that may be partially occluded or overlapped. Based on the approximated polygon, extended features that encompass neighborhoods of significant corners are defined. Two hypothetic angularities are first established to create hypothetic space. An analytic-circular-tag (ACT) which groups a specified number of consecutive hypothetic points in the sequence is used to provide a new scheme for matching technique. A hypothesis-generation-testing technique is used for contour matching. The experimental results demonstrate that our algorithms can be used to match complex industrial parts.

Original language	English (US)
Title of host publication	Proceedings of the Conference on Artificial Intelligence Applications
Publisher	Publ by IEEE
Pages	461-462
Number of pages	2
ISBN (Print)	081865550X
State	Published - Jan 1 1994
Event	Proceedings of the 10th Conference on Artificial Intelligence for Applications - San Antonio, TX, USA Duration: Mar 1 1994 → Mar 4 1994

Other

Other	Proceedings of the 10th Conference on Artificial Intelligence for Applications
City	San Antonio, TX, USA
Period	3/1/94 → 3/4/94

All Science Journal Classification (ASJC) codes

Software

Cite this

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title = "On the recognition of industrial parts",

abstract = "This paper presents an algorithm for representing two-dimensional shapes that may be partially occluded or overlapped. Based on the approximated polygon, extended features that encompass neighborhoods of significant corners are defined. Two hypothetic angularities are first established to create hypothetic space. An analytic-circular-tag (ACT) which groups a specified number of consecutive hypothetic points in the sequence is used to provide a new scheme for matching technique. A hypothesis-generation-testing technique is used for contour matching. The experimental results demonstrate that our algorithms can be used to match complex industrial parts.",

author = "Chen, {Yui Liang} and Daochuan Hung",

year = "1994",

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language = "English (US)",

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publisher = "Publ by IEEE",

note = "Proceedings of the 10th Conference on Artificial Intelligence for Applications ; Conference date: 01-03-1994 Through 04-03-1994",

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AU - Chen, Yui Liang

AU - Hung, Daochuan

PY - 1994/1/1

Y1 - 1994/1/1

N2 - This paper presents an algorithm for representing two-dimensional shapes that may be partially occluded or overlapped. Based on the approximated polygon, extended features that encompass neighborhoods of significant corners are defined. Two hypothetic angularities are first established to create hypothetic space. An analytic-circular-tag (ACT) which groups a specified number of consecutive hypothetic points in the sequence is used to provide a new scheme for matching technique. A hypothesis-generation-testing technique is used for contour matching. The experimental results demonstrate that our algorithms can be used to match complex industrial parts.

AB - This paper presents an algorithm for representing two-dimensional shapes that may be partially occluded or overlapped. Based on the approximated polygon, extended features that encompass neighborhoods of significant corners are defined. Two hypothetic angularities are first established to create hypothetic space. An analytic-circular-tag (ACT) which groups a specified number of consecutive hypothetic points in the sequence is used to provide a new scheme for matching technique. A hypothesis-generation-testing technique is used for contour matching. The experimental results demonstrate that our algorithms can be used to match complex industrial parts.

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M3 - Conference contribution

AN - SCOPUS:0028277027

SN - 081865550X

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EP - 462

BT - Proceedings of the Conference on Artificial Intelligence Applications

PB - Publ by IEEE

T2 - Proceedings of the 10th Conference on Artificial Intelligence for Applications

Y2 - 1 March 1994 through 4 March 1994

ER -

On the recognition of industrial parts

Abstract

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All Science Journal Classification (ASJC) codes

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