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Published in:   Vol. 5 Issue 1 Date of Publication:   June 2016

A Study on Sparse Representation and Optimal Algorithms in Intelligent Computer Vision

M.Noorjahan,A. Punitha

Page(s):   59- 61 ISSN:   2278-2397
DOI:   10.20894/IJCOA.101.005.001.014 Publisher:   Integrated Intelligent Research (IIR)

Computer vision is a dynamic research field which involves analyzing, modifying, and high-level understanding of images. Its goal is to determine what is happening in front of a camera and use the facts understood to control a computer or a robot, or to provide the users with new images that are more informative or esthetical pleasing than the original camera images. It uses many advanced techniques in image representation to obtain efficiency in computation. Sparse signal representation techniques have significant impact in computer vision, where the goal is to obtain a compact high-fidelity representation of the input signal and to extract meaningful information. Segmentation and optimal parallel processing algorithms are expected to further improve the efficiency and speed up in processing.