Experimental comparison of face/non-face classifiers
Research report
Permanent lenke
http://hdl.handle.net/11250/144248Utgivelsesdato
2001Metadata
Vis full innførselSamlinger
- NTNU i Gjøvik [208]
Sammendrag
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.
Serie
Høgskolen i Gjøviks rapportserie2001:1