Surface Orientation from a Projected Grid
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Surface Solution Using Structured Light and Constraint Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
An anthropometric face model using variational techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
The watershed transform: definitions, algorithms and parallelization strategies
Fundamenta Informaticae - Special issue on mathematical morphology
A High Precision 3D Object Reconstruction Method Using a Color Coded Grid and NURBS
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
3D face modeling using two orthogonal views and a generic face model
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Image segmentation using a texture gradient based watershed transform
IEEE Transactions on Image Processing
Improved techniques for automatic image segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Object Surface Reconstruction from One Camera System
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
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In this paper, an algorithm for extracting three-dimension shape of human face from two 2D images using grid light is presented. The grid pattern is illuminated by incandescence light instead of laser in order to protect human eyes or skin and reduce cost . An uncoded grid pattern is projected on human face to solve the problem of correspondence between a pair of stereo images. Two images acquired at same time are smoothed to diminish noise at first. Then grid stripes from these images are extracted and thinned by a marked watershed algorithm. A new method based on graph connectivity to locate and label grid intersections from these images is also presented. According to labeling principles, a set of matched points is build. The set of matched points are further used to calculate three-dimension-depth information of human face. Experiment results show the feasibility of the proposed method.