This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
: This communication describes a representation of images as a set of edges characterized by their position and orientation. This representation allows the comparison of two images...
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...