Face recognition with multiple pose based on 3-D face model
Junying Gan · Jisuanji gongcheng yu sheji · 2009
The differences between matching face image and original face image in pose and illumination are bottleneck problems in automatic face recognition. 3-D face model is used to tackle pose problems in face recognition. Main processes are as follows: at first, RBFs (radial basis functions) and B-spline curves methods are combined to process frontal and profile images in order to carry on 3-D face reconstruction and to construct a 3-D face model database. Then face pose parameters is estimated rapidly when three freedom degrees of face image are calculated respectively. Later, the pose parameters of matching face image and the 3-D face model are used to produce a new face image which possesses the same pose parameters as the matching face image. Finally, the 2-D face recognition is done with the same face pose. Experiments prove that the method is effective in tackling face pose problems and it is simply and quickly operated.