Scale and Translation Invariant Face Detection and Efficient Facial Feature Extraction
Scale and Translation Invariant Face Detection and Efficient Facial Feature Extraction
In this paper, improved and fully automatic face detection and facial feature extraction algorithms are introduced. The face detection algorithm is based on skin color, head shape and additional information such as orientation and characteristics of the segmented face region. The proposed face detection technique is position, scale, shape and skin color invariant. The more challenging task of facial feature extraction involves the identification of the sub-images containing the facial features. Each sub-image is analyzed by an efficient combination of a number of techniques such as: circle fitting, edge detection, and intensity based adaptive clustering. Our simulations indicate that the performance especially for the detection of facial features is significantly improved.
Face detection, Facial feature extraction, Intensity based adaptive clustering, Circle fitting
122-128
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Demirel, Hasan
92546797-b36a-45d8-bd0d-b7117e22a357
Ozkaramanli, Huseyin
29c003d8-3d12-42d6-a4c8-c0ebff7c337f
Uyguroglu, Mustafa
c7ca769a-9537-45dd-9f4a-65736075d24f
Kondoz, Ahmet M.
771d8bda-b682-433e-bf75-7c589160b635
2004
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Demirel, Hasan
92546797-b36a-45d8-bd0d-b7117e22a357
Ozkaramanli, Huseyin
29c003d8-3d12-42d6-a4c8-c0ebff7c337f
Uyguroglu, Mustafa
c7ca769a-9537-45dd-9f4a-65736075d24f
Kondoz, Ahmet M.
771d8bda-b682-433e-bf75-7c589160b635
Direkoglu, Cem, Demirel, Hasan, Ozkaramanli, Huseyin, Uyguroglu, Mustafa and Kondoz, Ahmet M.
(2004)
Scale and Translation Invariant Face Detection and Efficient Facial Feature Extraction.
International Conference on Signal and Image Processing, Honollulu, Hawaii, United States.
22 - 24 Aug 2004.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
In this paper, improved and fully automatic face detection and facial feature extraction algorithms are introduced. The face detection algorithm is based on skin color, head shape and additional information such as orientation and characteristics of the segmented face region. The proposed face detection technique is position, scale, shape and skin color invariant. The more challenging task of facial feature extraction involves the identification of the sub-images containing the facial features. Each sub-image is analyzed by an efficient combination of a number of techniques such as: circle fitting, edge detection, and intensity based adaptive clustering. Our simulations indicate that the performance especially for the detection of facial features is significantly improved.
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More information
Published date: 2004
Additional Information:
Event Dates: August 23-25, 2004
Venue - Dates:
International Conference on Signal and Image Processing, Honollulu, Hawaii, United States, 2004-08-22 - 2004-08-24
Keywords:
Face detection, Facial feature extraction, Intensity based adaptive clustering, Circle fitting
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 265214
URI: http://eprints.soton.ac.uk/id/eprint/265214
PURE UUID: 59cff766-e2de-420b-b64a-39cfc6c2d64e
Catalogue record
Date deposited: 27 Feb 2008 18:08
Last modified: 08 Jan 2022 02:45
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Contributors
Author:
Cem Direkoglu
Author:
Hasan Demirel
Author:
Huseyin Ozkaramanli
Author:
Mustafa Uyguroglu
Author:
Ahmet M. Kondoz
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