Abstract
Integral projections can be used to model the visual appearance of human faces. In this way, model based detection is done by fitting the model into an unknown pattern. Thus, the key problem is the alignment of projection patterns with respect to a given model of generic face. We provide an algorithm to align a 1-D pattern to a model consisting of the mean pattern and its variance. Projection models can also be used in facial feature location, pose estimation, expression and person recognition. Some preliminary experimental results are presented.
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CITATION STYLE
García-Mateos, G., Ruiz, A., & Lopez-de-Teruel, P. E. (2002). Face detection using integral projection models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2396, pp. 644–653). Springer Verlag. https://doi.org/10.1007/3-540-70659-3_67
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