Recognition of head-and-shoulder face image using virtualfrontal-view image
Feng, G.C.; Yuen, P.C.
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Volume 30, Issue 6, Nov 2000 Page(s):871 - 882
Digital Object Identifier 10.1109/3468.895926
Summary:This paper addresses the problem of face recognition under varying
poses. To recognize a face under different poses, one approach is to use
a human face 3D model. This approach is flexible but the equipment for
acquiring the 3D face image is very expensive. The second approach is
view-based. However, the complexity of the system is very high, as it
requires constructing a representation for each view. For a 3D rotation,
construction of dozens of representations may be required. This paper
proposes a new idea to transform the face with unknown pose into frontal
view for recognition. To construct the virtual frontal view image, we
have developed an algorithm for detecting facial landmarks, which are
then used to estimate the orientation of the face. A generic 3D
spring-based face model is developed to transform the unknown face image
into virtual frontal-view image. Finally, a spectroface method, which is
based on wavelet transform and Fourier transform, is developed to
recognize the virtual frontal face image. The proposed method has been
tested by 1145 face images from 85 persons with different poses, facial
expressions and small occlusions. The recognition accuracy for the best
match is 84.7%. If we consider the top three matches, the accuracy
increases to 92.9%
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