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https://hdl.handle.net/20.500.14279/29272| Title: | Locating facial features using genetic algorithms | Authors: | Lanitis, Andreas Hill, Adam T. Cootes, Timothy F. Taylor, Chris J. |
Major Field of Science: | Social Sciences | Field Category: | Computer and Information Sciences;Arts | Keywords: | Facial features;System;Genetics Algorithms | Issue Date: | 1995 | Source: | International Conference on Digital Signal Processing, 1995 | Conference: | International Conference on Digital Signal Processing | Abstract: | Detection of facial features is difficult because face images are highly variable. Sources of variability include individual appearance, 3D pose, facial expression and lighting. We describe a system for locating facial features, which uses flexible models of appearance as a means of providing prior knowledge about the expected appearance of j'katures and the spatial relationships between them. A global search procedure based on Genetic Algorithms is used to fit the model to new face images, so that the exact position of a face and facial features can be recovered. | URI: | https://hdl.handle.net/20.500.14279/29272 | Type: | Conference Papers | Affiliation : | The University of Edinburgh The University of Manchester |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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