Abstract
In this paper we investigate the effect of image
resolution on the error rates of a face verification system.
We do not restrict ourselves to the face recognition algorithm
only, but we also consider the face registration. In our face
recognition system, the face registration is done by finding
landmarks in a face image and subsequent alignment based on
these landmarks. To investigate the effect of image resolution
we performed experiments where we varied the resolution. We
investigate the effect of the resolution on the face recognition
part, the registration part and the entire system. This research
also confirms that accurate registration is of vital importance to
the performance of the face recognition algorithm. The results
of our face recognition system are optimal on face images with
a resolution of 32 × 32 pixels.
Original language | Undefined |
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Title of host publication | Proceedings of the Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV) |
Place of Publication | USA |
Publisher | IEEE |
Pages | 409-414 |
Number of pages | 6 |
ISBN (Print) | 1-4244-0342-1 |
DOIs | |
Publication status | Published - 5 Dec 2006 |
Event | 9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006 - Grand Hyatt Singapore, Singapore, Singapore Duration: 5 Dec 2006 → 8 Dec 2006 Conference number: 9 |
Publication series
Name | |
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Publisher | IEEE |
Number | suppl 2 |
Conference
Conference | 9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006 |
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Abbreviated title | ICARCV |
Country/Territory | Singapore |
City | Singapore |
Period | 5/12/06 → 8/12/06 |
Keywords
- EWI-8571
- IR-58158
- METIS-237791
- SCS-Safety