Face recognition is emerging as an active research area with numerous commercial and law enforcement applications. This paper presents comparative analysis of two most popular subspace projection techniques for face recognition. It compares Principal Component Analysis (PCA) and Independent Component Analysis (ICA), as implemented by the InfoMax algorithm. ORL face database is used for training...

Abstract Goals/Purpose The tear trough and lid-cheek junction demonstrate among the earliest most noticeable signs of aging as a result thin periorbital skin loss volume causing shadowing darkness infraorbital region. Thus, rejuvenation this area is commonly requested by patients. Soft tissue filler injections are second common non-surgical cosmetic procedure performed in U.S, with over 2.6 mil...

In this paper a novel technique to extract facial features for recognition in frequency domain using Discrete Fourier Transform (DFT) is presented. In pre processing phase facial tilt and varying image background challenges have been addressed to improve the success rate. Varying facial expressions within class have been minimised by using decimation algorithm. Experiments on ORL and YALE datas...

In this paper we propose a face recognition system based on local features. Interesting feature points in the face image are located by Gabor filters, which gives us an automatic system that is not dependent on accurate detection of facial features. The feature points are typically located at positions with high information content (such as facial features), and at each of these positions we ex...

The paper presents a novel method of reducing the dimensionality of large datasets (e.g. human faces databases). It does not incorporate any usual pre-processing stage (like down-scaling or filtering). Its main advantage is associated with efficient representation of images leading to the accurate recognition. The reduction is realized by modified Linear Discriminant Analysis. In the paper, the...

Irena Rusu Universit e d'Orl eans, L.I.F.O., B.P. 6759, 45067 Orl eans Cedex 2, France Abstract Everett et al. [2] conjectured that a graph with no odd hole and no stretcher is perfectly contractile, i.e. it can be reduced to a clique by successively contracting even pairs. We show that this conjecture is true for diamond-free graphs, and propose a polynomial algorithm to perform the successive...

Face recognition is an important area of research with many applications, including biometric security and searching face databases. This article describes an approach to recognize faces using eigenbands, which aim to capture the best features from facial characteristics. Faces are divided in vertical and horizontal hands. From each hand is extracted features using standard-PCA. Results show th...

Both two dimensional principal component analysis and fisher linear discriminant analysis are successful face recognition algorithms. Recognition rate, time complexity can be improved by combining the two algorithms with the very powerful tool discrete wavelet transform. Experiments on the ORL face database show that the proposed method outperforms PCA, LDA, DWT+LDA algorithms in terms of recog...

The conventional principal component analysis (PCA) and Fisher linear discriminant analysis (FLD) are both based on vectors. Rather, in this paper, a novel PCA technique directly based on original image matrices is developed for image feature extraction. Experimental results on ORL face database show that the proposed IMPCA are more powerful and e:cient than conventional PCA and FLD. ? 2002 Pat...

SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database ...