call for paper international journal, special issue publication, economics journal, indexed journal
In today's world, there are number of existing methods for facial recognition. These methods are based on frontal view face data. There are few methods which are based on non-frontal view face recognition method. In most of the face recognition algorithm, 'œFeature space' approach is used. In this approach, different feature vectors are extracted from face. These distances are compared to determine matches. In this paper, it is proposed that how any person can be located in a campus or in a city using a cross pose face recognition method. This paper is focusing on three parts 1) generation of multi-view images 2) comparison of images 3) showing the actual location of a person.
Alpha-Tree 3D pattern spectra: high energy feature space regions coincide to built-up (housing) as seen in satellite imagery. Axes: size, structural compactness and radiometric dissimilarity variance.
