A Survey of Techniques for Real Time Computer Vision Systems

Sabarinathan E.*, E. Manoj**
* Research Scholar, Erode, Tamil Nadu, India.
** UG Scholar, Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India.
Periodicity:May - July'2015
DOI : https://doi.org/10.26634/jes.4.2.4837

Abstract

Efficacious recognition and consistent identification of visual features is an important problem in applications, such as Pattern Recognition, Structure from motion, Image Registration and Visual Localization. The input data takings, numerous arrangements such as audiovisual arrangements, interpretations from manifold cameras or multi- dimensional statistics from a scanner. Concurrent performance is a perilous demand to utmost of these applications, which necessitate the finding and corresponding of the visual features in real time. Although feature recognition and empathy approaches have been deliberate in the work due to their computational intricacy therefore pure software execution by unique hardware is far suitable in their performance for real time applications. This paper is a comprehensive review of diverse image processing methods and enormous number of interrelated solicitations in various disciplines, including various real time image processing challenges like Medical, Biometrics, Object Recognition, Artificial Intelligence, Image Indexing and Image Retrieval. In this paper, different existing techniques are discussedwith the application areas and also their future scope is explained .

Keywords

Feature detection, Featurematching,Classification, FPGA.

How to Cite this Article?

Sabarinathan.E., and Manoj.E. (2015). A Survey of Techniques for Real Time Computer Vision Systems. i-manager’s Journal on Embedded Systems, 4(2), 24-35. https://doi.org/10.26634/jes.4.2.4837

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