Face Recognition Based on Discriminant Isometric Projection
Yanling Shao · Jisuanji gongcheng · 2012
Isometric Projection(IsoP) algorithm aims at preserving the distance among samples at the most,without taking into account the sample class discriminant information.Aiming at this problem,a face recognition algorithm based on Discriminant Isometric Projection(DIsoP) is proposed.The algorithm is based on IsoP and the Maximum Scatter Difference Criterion(MSDC) is introduced to its objective function.Therefore,an optimal objective function is obtained.After being embedded into a low-dimensional subspace,the samples of same class maintain their intrinsic neighbor relations,whereas the neighboring samples of the different class are far form each other.Experimental results on ORL face database demonstrate the effectiveness of the proposed algorithm.