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In Face recognition, a combination of neural network (NN), known as an ensemble of neural network, often outperforms individual ones. This paper is aiming to present a support vector machines (SVM)-ensemble-based efficient face recognition system. The training samples are randomly chosen by means of bootstrap technique to train the different SVM independently. These SVM's are combined together to...
During the past few years face detection and tracking from video has received maximum importance because of commercial and enforcement application of varied an extreme range. It is also most challenging task in video, where the variation of illuminations, noise, locations of human face and pose can differ from one frame to another. For face detection and tracking from video database is being presented...
An image level fusion technique combines different form of images so that the combine image may contain more relevant information than the individual ones. An image fusion technique for face recognition is presented in this paper. Due to the topological structure of human face images, one can easily identify a face image by looking along the horizontal-vertical and also forward-backward directions...
Augmented and Virtual Reality has become a highly researched subfield in the Computer Vision domain. Among various researched topics, object detection and tracking is a major field of interest, with various algorithms being developed for it. Various algorithms exist that employs different approaches to solving the problem of object detection. The approach that we take is a mixture of investigating...
Since the past several years, face recognition from video has received significant attention due to wide range of commercial and law enforcement applications, such as surveillance systems, closed circuit TV (CCTV) monitoring, etc. Human face detection is the first and important task in a dynamic environment, such as video, where noise conditions, illuminations, locations of subjects and pose can vary...
Image level fusion combines an image in different ways with its original version so that the combine image may contain more relevant information than the original one. This paper presents a novel method for face recognition by fusing original and corresponding diagonal images. Two ways of image fusion technique have been performed here. Firstly, we generate diagonal face image from original face image...
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