Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5471
Title: Comparative Study and Analysis of Face Detection Algorithms
Authors: Shah, Rushabh
Sheth, Aalisha
Shah, Biyanta
Shah, Aayushi
Sharma, Priyanka
Keywords: CAM Shift Algorithm
Eigen Values
Face Detection
Face Recognition
Image Processing
ROI Region of Interest
VIOLA JONES Face Detector
Computer Faculty Paper
Faculty Paper
ITFCA009
Issue Date: Mar-2015
Citation: International Conference On Recent Trends In Engineering Science And Management, Jawaharlal Nehru University, Convention Center, New Delhi (India), March 15, 2015, Page No. 4772-4778
Series/Report no.: ITFCA009-3;
Abstract: Automatic facial detection of various features of the face is an important stage for face recognition. Recognizing different facial features such as nose, lips, eye corners, jaws in different illumination and inclinations is a difficult task. Face detection is the process of detecting the location and size of faces. In this paper, we will first explain and implement the Viola Jones face detector. We will then survey various techniques, which are used to detect and track faces such as Kanade-Lucas-Tomasi (KLT) and CAM-shift. Comparison of difflerent algorithms and doing analysis of it will give researchers a better understanding of this field.
URI: http://hdl.handle.net/123456789/5471
ISBN: 978-81-931039-2-0
Appears in Collections:Faculty Papers, CE

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