Title :
Face Detection Based on QFT Phase-Only Correlation Template Match
Author :
Wang Li ; He Yan-xiang
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Abstract :
Face detection is the basis of the human face image pattern recognition processing. It has a very important role. This paper focused on the problem of face detection in the color image with complex background. A new face detection method based on Quantum Fourier Transform (QFT) average template-pair phase correlation matching was presented. The face image expressing in the CIE Lab color space and the method to buildup the eyes and faces average template-pair were analyzed. The quantum state vector encoding of the corresponding phase-only image was discussed. The QFT was used to compute the phase correlation between the phase-only images, realizing the face detection in the color image with complex background. The experiment showed that this method had a good detection ability for the different image resolution, single or several face with variety image background.
Keywords :
Fourier transforms; face recognition; image colour analysis; image matching; image resolution; Lab color space; QFT average template-pair phase correlation matching; QFT phase-only correlation template match; color image; face detection; human face image pattern recognition; image resolution; quantum Fourier transform; quantum state vector encoding; Eyes; Face detection; Fourier transforms; Helium; Humans; Image color analysis; Image converters; Information science; Lighting; Pattern recognition;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.579