| dc.date.accessioned | 2004-10-20T20:49:22Z | |
| dc.date.accessioned | 2018-11-24T10:23:18Z | |
| dc.date.available | 2004-10-20T20:49:22Z | |
| dc.date.available | 2018-11-24T10:23:18Z | |
| dc.date.issued | 1995-01-24 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/7193 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/7193 | |
| dc.description.abstract | We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face'' and "non-face'' prototype clusters. At each image location, the local pattern is matched against the distribution-based model, and a trained classifier determines, based on the local difference measurements, whether or not a human face exists at the current image location. We provide an analysis that helps identify the critical components of our system. | en_US |
| dc.format.extent | 21 p. | en_US |
| dc.format.extent | 2933946 bytes | |
| dc.format.extent | 846344 bytes | |
| dc.language.iso | en_US | |
| dc.subject | Face Detection Pattern Recognition Pattern Classification Learning from examples Object Recognition | en_US |
| dc.title | Example Based Learning for View-Based Human Face Detection | en_US |
