Abstract
A personal identification system based on the analysis of frontal or profile images of the face has applications in human-computer interfaces, access control, surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 2D images/patterns of 3D face objects can change dramatically due to lighting and viewing variations. In this paper, we propose a genetic 3D model to enhance existing face recognition systems. More specifically, we use a 3D model to synthesize the so-called prototype image from a given image acquired under different lighting and viewing conditions.
| Original language | English (US) |
|---|---|
| Pages | [d]50-53 |
| State | Published - 2000 |
| Externally published | Yes |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 9/10/00 → 9/13/00 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
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