Frontiers of Engineering Reports on Leading-Edge Engineering from the 2005 Symposium (2006) / Chapter Skim
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Ongoing Challenges in Face Recognition
Ongoing Challenges in Face Recognition
Pages 5-14
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. As Figure 1 shows, the same person, with the same facial expression, can appear strikingly different with changes in the direction of the light source and point of view.
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have demonstrated that appearance-based methods are both accurate and easy to use. The feature vector used for classification in these systems is a linear projection of the face image in a lower dimensional linear subspace.
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The 3-D models can then be used to render images of each face synthetically in novel poses and lighting conditions -- effectively expanding the gallery set for each face. Alternatively, 3-D models can be used in an iterative fitting process in which the model for each face is rotated, aligned, and synthetically illuminated to match the probe image.
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according to the angle formed by the light source and the camera axis. Every pair of columns shows the images of a particular pose (1 through 9 from left to right)
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Natural outdoor lighting makes face recognition difficult, not simply because of the strong shadows cast by a light source such as the sun, but also because subjects tend to distort their faces when illuminated by a strong light; compare again the indoor and outdoor expressions of the subject in Figure 1. Furthermore, very little work has been done to address complications arising from voluntary changes in facial expression, the use of eyewear, and the more subtle effects of aging.
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according to the angle of the light source direction and the camera axis. Every pair of columns shows the images from a particular pose (1 through 9 from left to right)
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Pp. 277284 in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.
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Pp. 70-76 in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.
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Pp. 300305 in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.
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Pp. 285 292 in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition.
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