Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26311
Title: Face recognition using semantic object recognition techniques
Researcher: Munir ahamed rabbani M
Guide(s): Chellappan C
Keywords: Face recognition
science and humanities
using semantic object
Upload Date: 7-Oct-2014
University: Anna University
Completed Date: 01/032009
Abstract: Human face recognition is one of the most successful applications newlineof image analysis and understanding that has recently received significant newlineattention especially during the past few years At least two reasons account newlinefor this trend the first is the wide range of commercial and law enforcement newlineapplications and the second is the availability of feasible technologies after newlinecontinuous research Even though current machine recognition systems have newlinereached a certain level of maturity their success is limited by the conditions newlineimposed by many real applications For example recognition of face images newlineacquired in an outdoor environment with changes in illumination andor pose newlineand facial expressions remains a largely unsolved problem In this work a newlinenew approach on face recognition using semantic object recognition newlinetechniques based on gradient edge detection and appearancebased statistical newlinemethods have been introduced to overcome these obstacles newline newline
Pagination: xvii,146p.
URI: http://hdl.handle.net/10603/26311
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File14.46 kBAdobe PDFView/Open
02_certificate.pdf5.84 kBAdobe PDFView/Open
03_abstract.pdf10.53 kBAdobe PDFView/Open
04_acknowledgement.pdf6.79 kBAdobe PDFView/Open
05_contents.pdf26.56 kBAdobe PDFView/Open
06_chapter 1.pdf72.36 kBAdobe PDFView/Open
07_chapter 2.pdf112.34 kBAdobe PDFView/Open
08_chapter 3.pdf290.25 kBAdobe PDFView/Open
09_chapter 4.pdf231.85 kBAdobe PDFView/Open
10_chapter 5.pdf16.35 kBAdobe PDFView/Open
11_references.pdf40.97 kBAdobe PDFView/Open
12_publications.pdf6.77 kBAdobe PDFView/Open
13_vitae.pdf5.41 kBAdobe PDFView/Open


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