Preview of methods for image restoration from video

Ljubotenska, Ana and Stojanovic, Igor (2014) Preview of methods for image restoration from video. Yearbook of the Faculty of Computer Science, 2 (2). pp. 77-84. ISSN 1857- 8691


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In the field of image processing, significant problem is face recognition. Main goal is to determine or validate person identity from the entered image, if we have image with person as input and database with recognized faces. This issue has become particularly topic current years, primarily due to large scale applications that has in various domains, such as in biometric verification. The techniques which are used for this purpose are classified in three groups, depending on the methodology for obtaining data for person: methods that process video and audio sequences (audio - visual character recognition), intensity image, or other means data such as infrared image, 3D or 2D data. Methodologies can be combined, so face recognition can be bimodal or multimodal. The focus in this paper is how to combine different biometric features for biometric verification to make face recognition safer. The main idea is to review and compare the performance of the means techniques used for face recognition from video, showing their basic features and advantages. This paper will be base of our future research in this topic.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Computer Science
Depositing User: Igor Stojanovik
Date Deposited: 16 Jun 2014 14:22
Last Modified: 16 Jun 2014 14:22

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