| dc.contributor.advisor | Tyssedal, John Sølve | nb_NO |
| dc.contributor.advisor | Bø, Kjetil | nb_NO |
| dc.contributor.author | Manikarnika, Achim Sanjay | nb_NO |
| dc.date.accessioned | 2014-12-19T13:58:16Z | |
| dc.date.available | 2014-12-19T13:58:16Z | |
| dc.date.created | 2010-09-05 | nb_NO |
| dc.date.issued | 2006 | nb_NO |
| dc.identifier | 349068 | nb_NO |
| dc.identifier | ntnudaim:1491 | nb_NO |
| dc.identifier.uri | http://hdl.handle.net/11250/258577 | |
| dc.description.abstract | In this project a real-time face detection and recognition system has been discussed and implemented. The main focus has been on the detection process which is the first and most important step before starting with the actual recognition. Computably intensive can give good results, but at the cost of the execution speed. The implemented algorithm which was done is project is build upon the work of Garcia, C. and Tziritas, but the algorithm accuracy is traded for faster speed. The program needs between 1-5 seconds on a standard workstation to analyze an image. On an image database with a lot of variety in the images, the system found 70-75% of the faces. | nb_NO |
| dc.language | eng | nb_NO |
| dc.publisher | Institutt for matematiske fag | nb_NO |
| dc.subject | ntnudaim | no_NO |
| dc.subject | SIF3 fysikk og matematikk | no_NO |
| dc.subject | Industriell matematikk | no_NO |
| dc.title | A General Face Recognition System | nb_NO |
| dc.type | Master thesis | nb_NO |
| dc.source.pagenumber | 61 | nb_NO |
| dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fag | nb_NO |
