A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Low Cost 3D Face Acquisition and Modeling
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Building 3D facial models and detecting face pose in 3D space
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
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In this paper we present a 3D human face reconstruction framework based on stereo sensor coupled with a structured lighting source. Starting from two calibrated images, the active part (video projector) which project controlled lights, allows the operator to locate two sets of structured features with sub-pixel accuracy in both left and right images. Then, exploiting epipolar geometry improves the matching process by reducing its complexity from a bidirectional to a unidirectional search problem. Finally, we perform an adapted dynamic programming algorithm to obtain corresponding features in each conjugated scanline separately. Final three dimensional face models are achieved by a pipeline of four steps: (a) stereo triangulation, (b) data interpolation based on cubic spline models, (c) Delaunay triangulation-based meshing, and (d) texture mapping process.