3D model creation based on 2D images
Abstract
The existing methods that are used for face recognition from 2D images do not always provide an opportunity to gain intermediate information about the proportions of a human face, these algorithms are also very sensitive to lighting, which decreases the accuracy of face recognition. Based on that there is a need of new methods for reconstructing a 3D model of a face to generate new images of a face (turn, tilt of the head). In this paper, a method is proposed for adapting an average polygonal 3D face model from several 2D images.
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BIOMEDICAL ENGINEERING CONFERENCE ORGANIZING COMMITEE,
BIOMEDICAL ENGINEERING INSTITUTE,
KAUNAS UNIVERSITY OF TECHNOLOGY.