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V4 N2 Paper 3
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Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
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Fall 2010
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AUTOTAGIT: A System For The Automation Of Image Tagging In The Facebook Architecture
Brian Bullard
Committee
Abstract
This paper describes the development of a web application for the automation of image tagging within the Facebook social network architecture. The underlying technologies for face detection and recognition are presented along with some of the inherent difficulties of such technologies. Also explored are the enhancement of face detection through the use of skin detection and the evaluation of a newly developed face detector created with the OpenCV toolset. A walkthrough of the completed web application, difficulties encountered through development, and screenshots of the application are included for further insight.
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Recommended Citation:
Bullard, B., Ricanek, K, Reinicke, B., Patterson, E. (2010) AUTOTAGIT: A System For The Automation Of Image Tagging In The Facebook Architecture. Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington, 4(2) paper 3. http://csbapp.uncw.edu/data/mscsis/full.aspx.
|
V4 N2 Paper 3
|
Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
|
Fall 2010
|
