Abstract
This paper presents methods for shape normalisation of face images. Localisation and shape normalisation are prerequisites for face recognition algorithms like the eigenface approach. Other established face recognition methods like labeled graph matching can also be accelerated by providing normalised face image databases. We present results on translational normalisation of face images and evaluate a method for matching face images by applying affine transformations using robust estimations. The results of the transformations are evaluated with the eigenface method.
Cite
CITATION STYLE
Fischer, S., & Duc, B. (1997). Shape normalisation for face recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1206, pp. 21–26). Springer Verlag. https://doi.org/10.1007/bfb0015975
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