State-of-the-art Review, Concept Development and Demonstration in Face Detection

Authors

  • Tamjid Rahman  Department of Electrical & Computer Engineering, North South University, Dhaka, Bangladesh

Keywords:

Face Detection, Natures of Problems, Challenges, Current State of Solutions, Scene Analysis, Cues, Viola–Jones algorithm implementation

Abstract

Face detection is one of the most significant researchable issues in computer vision. As literature suggests, it is obvious that face detection will keep researchers busy in the years ahead due to its natures of problems, utilities, challenges, commercial applications, market responses, commercial products and firms, market size, growth prospects, limitations of current state of solutions and so on. Without having clear idea of these facts, it is difficult for researchers to come up with novel ideas that solve major problems in face detection. In this paper, scene analysis, feature identification, lighting system conceptualization, algorithm implementation and identifying limitations are included to develop concepts in face detection. This paper also shows how to capture images and features in face detection. As a part of the concept demonstration in face detection, the Viola–Jones algorithm implementation is performed using eclipse compiler. During implementation of the algorithm, we use a cue indicating among all faces the regions of the eyes are darker than the region of the cheek. Although it has some limitations, it can detect face nicely. Finally, a number of important decisions are made which imply that several other cues can be considered in various illumination effects to detect face more optimally.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-10-31

Issue

Volume 3, Issue 6, September-October-2017

Section

Research Articles

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How to Cite

[1]
Tamjid Rahman, " State-of-the-art Review, Concept Development and Demonstration in Face Detection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.1008-1019, September-October-2017.