Abstract
This paper presents a method for 3D face modeling from a set of 2D images. This method is based on deformation of a pre-defined generic polygonal face mesh to the specific face of the person, presented on several images taken from different views. This deformation is based upon matching points and silhouette curves. To provide high accuracy we have chosen an interactive way of getting information from the image. Firstly the user defines several feature points on the images. Then the algorithm adapts the generic model to the real face presented on the image by matching the projections of the generic characteristic points to those of the images. Finally, the reconstruction is improved by matching the silhouettes of the deformed model to those of the images. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Kalinkina, D., Gagalowicz, A., & Roussel, R. (2007). 3D reconstruction of a human face from images using morphological adaptation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4418 LNCS, pp. 212–224). Springer Verlag. https://doi.org/10.1007/978-3-540-71457-6_20
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