Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/334873
Title: | Analysis and Identification of Human with 3d Skull Based Images |
Researcher: | Chitra Devi, M |
Guide(s): | Pushpa Rani, M |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | Mother Teresa Womens University |
Completed Date: | 2019 |
Abstract: | newlineHuman Identification is the most important issue in forensic anthropology. In accordance to that the traditional methods, the researchers in the domain are concentrating to improve the methods to output for getting the high accuracy rate of detection. The face reconstruction is one of the most outstanding research areas in forensic medicine, which has the great impact in medical field, in recent years. Especially in the department of forensic medicine and legal process, the identification of a person based on the skull is a difficult process when no other resources are available for identification. Face reconstruction from a single 2D face image is an ill posed problem involving estimation of the intrinsic and extrinsic camera parameters, light parameters, shape parameters and the texture parameters. |
Pagination: | x, 197p. |
URI: | http://hdl.handle.net/10603/334873 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 61.8 kB | Adobe PDF | View/Open |
02_certificate.pdf | 241.03 kB | Adobe PDF | View/Open | |
03_contents.pdf | 155.8 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 1.01 MB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 269.48 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 787.02 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 429.69 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 1.24 MB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 650.3 kB | Adobe PDF | View/Open | |
10_chapter 7.pdf | 147.46 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 220.12 kB | Adobe PDF | View/Open |
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