Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/33726
Title: Rotation invariant face recognition and application to facial expressions using optical neural networks
Researcher: Parimala geetha K
Guide(s): Sundaravadivelu S
Keywords: information and communication engineering
neural networks
Rotation invariant
Upload Date: 9-Feb-2015
University: Anna University
Completed Date: 01/12/2009
Abstract: Face and facial expression recognition has been an attractive field newlineof research for both neuroscientists and computer vision scientists The newlineautomatic face recognition is the important one In real world the faces to be newlineidentified may be in rotated form So a unique approach for identifying newlineupright and rotated faces is necessary Neural networks in combination with newlineaffine transform can be effectively used for rotating the faces Also neural newlinenetwork has the powerful capability of adaptation The degree of rotation newlinerequired is determined by the neural networks newline newline
Pagination: xvii, 122p.
URI: http://hdl.handle.net/10603/33726
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.25 kBAdobe PDFView/Open
02_certificate.pdf6.02 kBAdobe PDFView/Open
03_abstract.pdf7.81 kBAdobe PDFView/Open
04_acknowledgment.pdf6.89 kBAdobe PDFView/Open
05_contents.pdf35.54 kBAdobe PDFView/Open
06_chapter 1.pdf24.47 kBAdobe PDFView/Open
07_chapter 2.pdf54.84 kBAdobe PDFView/Open
08_chapter 3.pdf103.26 kBAdobe PDFView/Open
09_chapter 4.pdf136.95 kBAdobe PDFView/Open
10_chapter 5.pdf150.6 kBAdobe PDFView/Open
11_chapter 6.pdf201.03 kBAdobe PDFView/Open
12_chapter 7.pdf119.76 kBAdobe PDFView/Open
13_chapter 8.pdf188.22 kBAdobe PDFView/Open
14_chapter 9.pdf8.56 kBAdobe PDFView/Open
15_appendix.pdf19.85 kBAdobe PDFView/Open
16_references.pdf36.86 kBAdobe PDFView/Open
17_publications.pdf6.32 kBAdobe PDFView/Open
18_vitae.pdf7.03 kBAdobe PDFView/Open


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