3-D surface reconstruction in automatic recognition system

Development of computer vision systems raises a problem of creating effective methods for restoring surface characteristics from their photographic images minimising calculations while preserving reasonable accuracy of measurements. Here optimised algorithms of the surface reconstruction from stereo-images is proposed. The optimisation is achieved by introducing some constraints on the conditions of image recording and by involving an a priory information about objects in study. Effective algorithms have been developed on the basis of correlation method estimating corresponding points on images in stereo set and disparity map computation. Performance optimisation is achieved by some modifications of correlation method including a pyramidal presentation of the images. The system uses a stereoscopic registration of face images and performs real-time image processing. The system was tested on a database of stereo-images.