Title :
A New Algorithm for Extracting High-Resolution Face Image from Video Sequence
Author :
Lu, Jianguo ; Cai, Anni ; Su, Fei
Author_Institution :
Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun.
Abstract :
How to get high-resolution face image from low-resolution video sequence with time-saving demand is an important problem. In this paper, a new framework is described to extract high-resolution face image from video sequence. Firstly, the real-time face detection based on AdaBoost algorithm and Haar like feature is implemented. The detected face area is segmented from the background to form a face image sequence of the same person with same pose. Secondly, the cubic spline interpolation and Parzen window based mutual information (MI) is used for image registration. Finally, a modified iteration algorithm for super-resolution image restoration is proposed as an extension of Irani and Peleg´s method. Experimental results demonstrate the good performance of the proposed algorithm
Keywords :
Haar transforms; face recognition; feature extraction; image registration; image resolution; image restoration; image segmentation; image sequences; interpolation; iterative methods; splines (mathematics); video signal processing; AdaBoost algorithm; Haar like feature; Parzen window based mutual information; cubic spline interpolation; face area segmentation; face detection; face image sequence; high-resolution face image extraction; image registration; iteration algorithm; superresolution image restoration; video sequence; Face detection; Image registration; Image resolution; Image restoration; Image segmentation; Image sequences; Interpolation; Mutual information; Spline; Video sequences;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295348
