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Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution Video Sequences

Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution Video Sequences
Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution 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 detail. 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 burden of the super-resolution algorithm is achieved. The results indicate that the region-based super-resolution aided extraction algorithm provides significant performance improvement in terms of correct detection in accurately locating the facial feature points.
789-792
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) Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution Video Sequences. IEEE International Conference on Acoustics, Speech, and Signal Processing. pp. 789-792 .

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 detail. 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 burden of the super-resolution algorithm is achieved. The results indicate that the region-based super-resolution aided extraction algorithm provides significant performance improvement in terms of correct detection in accurately locating the facial feature points.

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More information

Published date: 2005
Venue - Dates: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005-01-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 265217
URI: https://eprints.soton.ac.uk/id/eprint/265217
PURE UUID: fc66f2be-0bff-4687-a7e9-ff1bf0d38b55

Catalogue record

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

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Contributors

Author: Turgay Celik
Author: Cem Direkoglu
Author: Huseyin Ozkaramanli
Author: Hasan Demirel
Author: Mustafa Uyguroglu

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