Authors:
Nikos Barbalios
;
Nikos Nikolaidis
and
Ioannis Pitas
Affiliation:
Aristotle University of Thessaloniki, Greece
Keyword(s):
Uncalibrated 3D face reconstruction, face modelling, 3D reconstruction, mesh deformation, model based 3D reconstruction.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Retrieval of 3D Objects from Video Sequences
;
Software Engineering
Abstract:
Accurate and plausible 3D face reconstruction remains a difficult problem up to this day, despite the tremendous advances in computer technology and the continuous growth of the applications utilizing 3D face models (e.g. biometrics, movies, gaming). In this paper, a two-step technique for efficient 3D face reconstruction from a set of face images acquired using an uncalibrated camera is presented. Initially, a robust structure from motion (SfM) algorithm is applied over a set of manually selected salient image features to retrieve an estimate of their 3D coordinates. These estimates are further utilized to deform a generic 3D face model, using smoothing splines, and adapt it to the characteristics of a human face.