We pmpose a heuristic approach for detection ofeyes in close-up images. The experimental images are stereorypiral mug shot faces which can be expected in applications offace recog...
Thilak R. Kumar, S. Kumar Raja, A. G. Ramakrishnan
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
This paper presents the status of a project targeting the development of content-based video indexing tools, to assist a human in the generation of descriptive video for the hard ...
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...