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DC Field | Value | Language |
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dc.contributor.author | Shah, Rushabh | - |
dc.contributor.author | Sheth, Aalisha | - |
dc.contributor.author | Shah, Biyanta | - |
dc.contributor.author | Shah, Aayushi | - |
dc.contributor.author | Sharma, Priyanka | - |
dc.date.accessioned | 2015-06-26T04:18:21Z | - |
dc.date.available | 2015-06-26T04:18:21Z | - |
dc.date.issued | 2015-03 | - |
dc.identifier.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 | - |
dc.identifier.isbn | 978-81-931039-2-0 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5471 | - |
dc.description.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. | en_US |
dc.relation.ispartofseries | ITFCA009-3; | - |
dc.subject | CAM Shift Algorithm | en_US |
dc.subject | Eigen Values | en_US |
dc.subject | Face Detection | en_US |
dc.subject | Face Recognition | en_US |
dc.subject | Image Processing | en_US |
dc.subject | ROI Region of Interest | en_US |
dc.subject | VIOLA JONES Face Detector | en_US |
dc.subject | Computer Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFCA009 | en_US |
dc.title | Comparative Study and Analysis of Face Detection Algorithms | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, CE |
Files in This Item:
File | Description | Size | Format | |
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ITFCA009-3.pdf | ITFCA009-3 | 2.13 MB | Adobe PDF | ![]() View/Open |
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