On-line construction of the convex hull of a simple polyline
Information Processing Letters
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
Visual methods for three-dimensional modeling
Visual methods for three-dimensional modeling
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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
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In this paper, an algorithm for extracting three-dimensional shape of human face (Face Modeling) from 2D images using grid light is proposed. The grid light is illuminated by common white light instead of laser light in order to protect the human eyes or skin and reduce cost. A simple and uncoded grid pattern is projected on human face to solve the problem of correspondence between a pair of stereo images. The grid stripes are extracted and thinned by applying first smoothing and then a marker watershed segmentation algorithm. For the sake of providing more details for facial model, feature point extraction is introduced. The set of matched feature points will be added to the set of matched points. The final set of matched points is further used to calculate three-dimensional depth information of face. Experimental results have shown the feasibility of the proposed method.