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Báo cáo hóa học: " Research Article A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 51648 6 pages doi 10.1155 2007 51648 Research Article A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition R. Srikantaswamy1 and R. D. Sudhaker Samuel2 1 Department of Electronics and Communication Siddaganga Institute of Technology Tumkur 572103 Karnataka India 2 Department of Electronics and Communication Sri Jayachamarajendra College of Engineering Mysore India Received 1 September 2006 Accepted 14 April 2007 Recommended by Ebroul Izquierdo The first step in an automatic face recognition system is to localize the face region in a cluttered background and carefully segment the face from each frame of a video sequence. In this paper we propose a fast and efficient algorithm for segmenting a face suitable for recognition from a video sequence. The cluttered background is first subtracted from each frame in the foreground regions a coarse face region is found using skin colour. Then using a dynamic template matching approach the face is efficiently segmented. The proposed algorithm is fast and suitable for real-time video sequence. The algorithm is invariant to large scale and pose variation. The segmented face is then handed over to a recognition algorithm based on principal component analysis and linear discriminant analysis. The online face detection segmentation and recognition algorithms take an average of 0.06 second on a 3.2 GHz P4 machine. Copyright 2007 R. Srikantaswamy and R. D. Sudhaker Samuel. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In literature it is found that most of the face recognition work is carried out on still face images which are carefully cropped and captured under well-controlled conditions. The first step in an .