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Title: Certain investigation on features based object classification under cluttered background and mild occlusions
Researcher: Nagarajan B
Guide(s): Balasubramanie P
Keywords: cluttered
mild occlusions
science and humanities
Upload Date: 10-Nov-2014
University: Anna University
Completed Date: 01/11/2009
Abstract: Object classification is one of the most challenging problems in newlinecomputer vision An object classification system must be able to detect the newlinepresence or absence of objects eg Car Category Airplane Category newlineNatural Scene Category under different illumination background clutter newlineocclusions and pose changes Many different approaches and feature newlineextraction methodologies concerning object classification have been proposed newlineand applied in the last decades Most of the literature surveys discuss object newlineclassification without cluttered background or without occlusions and discuss newlineonly classification performances Barely few almost none have proposed a newlinesuitable framework for object classification problem under the cluttered newlinebackground with and without occlusions by analyzing the computational time newlinefor classification newline newline
Pagination: xxiv, 153p.
Appears in Departments:Faculty of Science and Humanities

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02_certificate.pdf5.87 kBAdobe PDFView/Open
03_abstract.pdf8.73 kBAdobe PDFView/Open
04_acknowledgement.pdf6.23 kBAdobe PDFView/Open
05_contents.pdf49.96 kBAdobe PDFView/Open
06_chapter 1.pdf48.1 kBAdobe PDFView/Open
07_chapter 2.pdf592.08 kBAdobe PDFView/Open
08_chapter 3.pdf94.46 kBAdobe PDFView/Open
09_chapter 4.pdf435.2 kBAdobe PDFView/Open
10_chapter 5.pdf416.36 kBAdobe PDFView/Open
11_chapter 6.pdf457.88 kBAdobe PDFView/Open
12_chapter 7.pdf320.49 kBAdobe PDFView/Open
13_chapter 8.pdf369.2 kBAdobe PDFView/Open
14_chapter 9.pdf321.81 kBAdobe PDFView/Open
15_chapter 10.pdf65.7 kBAdobe PDFView/Open
16_chapter 11.pdf21.95 kBAdobe PDFView/Open
17_references.pdf44.51 kBAdobe PDFView/Open
18_publications.pdf8.21 kBAdobe PDFView/Open
19_vitae.pdf6.89 kBAdobe PDFView/Open

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