| dc.contributor.author | Zhang, H. X. | en_US |
| dc.contributor.author | Ma, R. H. | en_US |
| dc.contributor.author | Huang, W. M. | en_US |
| dc.contributor.author | Huang, Z. | en_US |
| dc.contributor.editor | N. Correia and J. Jorge and T. Chambel and Z. Pan | en_US |
| dc.date.accessioned | 2014-01-26T16:16:43Z | |
| dc.date.available | 2014-01-26T16:16:43Z | |
| dc.date.issued | 2004 | en_US |
| dc.identifier.isbn | 3-905673-17-7 | en_US |
| dc.identifier.issn | 1812-7118 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/EGMM/MM04/087-094 | en_US |
| dc.description.abstract | Access control has much attracted research interest recently. In this paper, we propose a method using human face and height as human trait to recognize a person. We observe that eye location extracted from a human face is sta-ble to be used to compute his/her height to the ground. Using it together with face recognition can increase the ac-curacy of the access control. We have implemented the method on a PC installed with a stereo camera. The design criteria, techniques, implementation details, and performance testing are presented. Keywords: 3D reconstruction, gradient descent method, biometric fusion, application. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Door Access Control Using Human Face and Height | en_US |
| dc.description.seriesinformation | Eurographics Multimedia Workshop | en_US |
