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Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences

Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature extraction algorithms fail for low resolution images which do not contain sufficient facial details. In this paper, a region-based super-resolution aided facial feature extraction method for low resolution video sequences is described. The region based approach makes use of segmented faces as the region of interest whereby a significant reduction in computational complexity of the super-resolution algorithm is achieved. The results indicate that the region-based super-resolution aided facial feature extraction algorithm provides significant performance improvement in terms of correctly detecting the location of the facial feature points. There are 6.4 fold reductions in the computational cost.
1141-1148
Celik, Turgay
6f7e64a5-74ac-4691-80b9-5cba049b0634
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Ozkaramanli, Huseyin
29c003d8-3d12-42d6-a4c8-c0ebff7c337f
Demirel, Hasan
92546797-b36a-45d8-bd0d-b7117e22a357
Uyguroglu, Mustafa
c7ca769a-9537-45dd-9f4a-65736075d24f
Celik, Turgay
6f7e64a5-74ac-4691-80b9-5cba049b0634
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Ozkaramanli, Huseyin
29c003d8-3d12-42d6-a4c8-c0ebff7c337f
Demirel, Hasan
92546797-b36a-45d8-bd0d-b7117e22a357
Uyguroglu, Mustafa
c7ca769a-9537-45dd-9f4a-65736075d24f

Celik, Turgay, Direkoglu, Cem, Ozkaramanli, Huseyin, Demirel, Hasan and Uyguroglu, Mustafa (2005) Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences. International Conference of Image Analysis and Recognition, LNCS 3656. pp. 1141-1148 .

Record type: Conference or Workshop Item (Other)

Abstract

Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature extraction algorithms fail for low resolution images which do not contain sufficient facial details. In this paper, a region-based super-resolution aided facial feature extraction method for low resolution video sequences is described. The region based approach makes use of segmented faces as the region of interest whereby a significant reduction in computational complexity of the super-resolution algorithm is achieved. The results indicate that the region-based super-resolution aided facial feature extraction algorithm provides significant performance improvement in terms of correctly detecting the location of the facial feature points. There are 6.4 fold reductions in the computational cost.

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More information

Published date: 2005
Venue - Dates: International Conference of Image Analysis and Recognition, LNCS 3656, 2005-01-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 265215
URI: https://eprints.soton.ac.uk/id/eprint/265215
PURE UUID: a718180b-11e3-4a35-9c10-c893b73421f1

Catalogue record

Date deposited: 27 Feb 2008 18:09
Last modified: 18 Jul 2017 07:28

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