Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/382903
Title: | 2D 3D biometrics face detection and recognition in an unconstrained environment |
Researcher: | Srinivas Kishan, Anapu |
Guide(s): | Srinivasa Rao, Peri |
Keywords: | 2D-3D Biometrics-Face Detection and Recognition -Unconstrained Environment. Automation and Control Systems Computer Science Engineering and Technology Face Detection and Recognition- Visual Assistive System. Visual Image Processing-Face Detection and Recognition-unconstrained environment-2D-3D Biometrics. |
University: | Andhra University |
Completed Date: | 2015 |
Abstract: | None |
Pagination: | 212p. |
URI: | http://hdl.handle.net/10603/382903 |
Appears in Departments: | Department of Computer Science & Systems Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 114.64 kB | Adobe PDF | View/Open |
02_certificate.pdf | 191.77 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 194.49 kB | Adobe PDF | View/Open | |
04_dedication.pdf | 172.76 kB | Adobe PDF | View/Open | |
05_acknowledgements.pdf | 237.88 kB | Adobe PDF | View/Open | |
06_contents.pdf | 132.48 kB | Adobe PDF | View/Open | |
07_list of figures.pdf | 239.75 kB | Adobe PDF | View/Open | |
08_list of tables.pdf | 122.01 kB | Adobe PDF | View/Open | |
09_abstract.pdf | 234.38 kB | Adobe PDF | View/Open | |
10_chapter 1.pdf | 748.34 kB | Adobe PDF | View/Open | |
11_chapter 2.pdf | 467.2 kB | Adobe PDF | View/Open | |
12_chapter 3.pdf | 711.44 kB | Adobe PDF | View/Open | |
13_chapter 4.pdf | 381.84 kB | Adobe PDF | View/Open | |
14_chapter 5.pdf | 376.62 kB | Adobe PDF | View/Open | |
15_chapter 6.pdf | 723.36 kB | Adobe PDF | View/Open | |
16_chapter 7.pdf | 1.28 MB | Adobe PDF | View/Open | |
17_chapter 8.pdf | 1.31 MB | Adobe PDF | View/Open | |
18_summary and conclusions.pdf | 118.15 kB | Adobe PDF | View/Open | |
19_references.pdf | 272.38 kB | Adobe PDF | View/Open | |
20_papers published.pdf | 206.75 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 231.63 kB | Adobe PDF | View/Open |
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