| dc.contributor.author | Farup, Ivar | |
| dc.contributor.author | Hjelmås, Erik | |
| dc.date.accessioned | 2008-08-28T10:28:00Z | |
| dc.date.issued | 2001 | |
| dc.identifier.issn | 0806-3176 | |
| dc.identifier.uri | http://hdl.handle.net/11250/144248 | |
| dc.description.abstract | Most face detection algorithms can be divided into two sub-problems, initial visual guidance and face/ non-face classification. In this paper vi propose an evaluation protocol for face/ non-face classification and provide experimental comparison of six algorithms. The overall best performing algorithms are the baseline template matching algorithms. Our results emphasize the importance of preprocessing. | en |
| dc.format.extent | 432245 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | en |
| dc.relation.ispartofseries | Høgskolen i Gjøviks rapportserie | en |
| dc.relation.ispartofseries | 2001:1 | en |
| dc.subject | mønstergjenkjenning | en |
| dc.subject | billedbehandling | en |
| dc.subject | kunstig intelligens | en |
| dc.title | Experimental comparison of face/non-face classifiers | en |
| dc.type | Research report | en |
| dc.subject.nsi | VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429 | en |
