Classifying variable objects using a flexible shape model

A. Lanitis; C. J. Taylor; T. Ahmed; T. F. Cootes

Classifying variable objects using a flexible shape model

A. Lanitis, C. J. Taylor, T. Ahmed, T. F. Cootes

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

Abstract

Point Distribution Models (PDMs) are statistical models which represent objects whose shape can vary. A useful feature of PDMs is their ability to capture the shape of variable objects within a training set with a small number of shape parameters. This compact and accurate parametrization can be used for the design of efficient classification systems. In this paper we describe a classification system which uses shape parameters. We have tested the system on classifying hand outlines, face outlines and hand gestures; experimental results are presented.

Original language	English
Title of host publication	IEE Conference Publication\|IEE Conf Publ
Editors	Anon
Place of Publication	Stevenage, United Kingdom
Publisher	IEE
Pages	70-74
Number of pages	4
Publication status	Published - 1995
Event	Proceedings of the 5th International Conference on Image Processing and its Applications - Edinburgh, UK Duration: 1 Jul 1995 → … http://Requested 28 Mar 02

Conference

Conference	Proceedings of the 5th International Conference on Image Processing and its Applications
City	Edinburgh, UK
Period	1/07/95 → …
Internet address	http://Requested 28 Mar 02

Keywords

Peer Reviewed Conference

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title = "Classifying variable objects using a flexible shape model",

abstract = "Point Distribution Models (PDMs) are statistical models which represent objects whose shape can vary. A useful feature of PDMs is their ability to capture the shape of variable objects within a training set with a small number of shape parameters. This compact and accurate parametrization can be used for the design of efficient classification systems. In this paper we describe a classification system which uses shape parameters. We have tested the system on classifying hand outlines, face outlines and hand gestures; experimental results are presented.",

keywords = "Peer Reviewed Conference",

author = "A. Lanitis and Taylor, {C. J.} and T. Ahmed and Cootes, {T. F.}",

year = "1995",

language = "English",

pages = "70--74",

editor = "Anon",

booktitle = "IEE Conference Publication|IEE Conf Publ",

publisher = "IEE",

address = "United Kingdom",

note = "Proceedings of the 5th International Conference on Image Processing and its Applications ; Conference date: 01-07-1995",

url = "http://Requested 28 Mar 02",

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TY - GEN

T1 - Classifying variable objects using a flexible shape model

AU - Lanitis, A.

AU - Taylor, C. J.

AU - Ahmed, T.

AU - Cootes, T. F.

PY - 1995

Y1 - 1995

N2 - Point Distribution Models (PDMs) are statistical models which represent objects whose shape can vary. A useful feature of PDMs is their ability to capture the shape of variable objects within a training set with a small number of shape parameters. This compact and accurate parametrization can be used for the design of efficient classification systems. In this paper we describe a classification system which uses shape parameters. We have tested the system on classifying hand outlines, face outlines and hand gestures; experimental results are presented.

AB - Point Distribution Models (PDMs) are statistical models which represent objects whose shape can vary. A useful feature of PDMs is their ability to capture the shape of variable objects within a training set with a small number of shape parameters. This compact and accurate parametrization can be used for the design of efficient classification systems. In this paper we describe a classification system which uses shape parameters. We have tested the system on classifying hand outlines, face outlines and hand gestures; experimental results are presented.

KW - Peer Reviewed Conference

M3 - Conference contribution

SP - 70

EP - 74

BT - IEE Conference Publication|IEE Conf Publ

A2 - Anon, null

PB - IEE

CY - Stevenage, United Kingdom

T2 - Proceedings of the 5th International Conference on Image Processing and its Applications

Y2 - 1 July 1995

ER -

Classifying variable objects using a flexible shape model

Abstract

Conference

Keywords

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