Region-based Super-Resolution Aided Facial Feature Extraction from Low-resolution Video Sequences
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. At IEEE International Conference on Acoustics, Speech, and Signal Processing , 789-792.
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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.
|Item Type:||Conference or Workshop Item (Speech)|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science
|Date Deposited:||27 Feb 2008 18:09|
|Last Modified:||02 Mar 2012 13:21|
|Contributors:||Celik, Turgay (Author)
Direkoglu, Cem (Author)
Ozkaramanli, Huseyin (Author)
Demirel, Hasan (Author)
Uyguroglu, Mustafa (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||0|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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