Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5471
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dc.contributor.authorShah, Rushabh-
dc.contributor.authorSheth, Aalisha-
dc.contributor.authorShah, Biyanta-
dc.contributor.authorShah, Aayushi-
dc.contributor.authorSharma, Priyanka-
dc.date.accessioned2015-06-26T04:18:21Z-
dc.date.available2015-06-26T04:18:21Z-
dc.date.issued2015-03-
dc.identifier.citationInternational 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.isbn978-81-931039-2-0-
dc.identifier.urihttp://hdl.handle.net/123456789/5471-
dc.description.abstractAutomatic 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.ispartofseriesITFCA009-3;-
dc.subjectCAM Shift Algorithmen_US
dc.subjectEigen Valuesen_US
dc.subjectFace Detectionen_US
dc.subjectFace Recognitionen_US
dc.subjectImage Processingen_US
dc.subjectROI Region of Interesten_US
dc.subjectVIOLA JONES Face Detectoren_US
dc.subjectComputer Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFCA009en_US
dc.titleComparative Study and Analysis of Face Detection Algorithmsen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, CE

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