3D surface reconstruction in automatic recognition system

Ivan A. Matveev; Alexander B. Murynin

doi:10.1117/12.350521

22 June 1999 3D surface reconstruction in automatic recognition system

Ivan A. Matveev, Alexander B. Murynin

Proceedings Volume 3516, 23rd International Congress on High-Speed Photography and Photonics; (1999) https://doi.org/10.1117/12.350521
Event: Twenty-Third International Congress on High-Speed Photography and Photonics, 1998, Moscow, Russian Federation

Abstract

Development of computer vision systems raises a problem of creating effective methods for restoring surface characteristics from their photographic images minimizing calculations while preserving reasonable accuracy of measurements. Here optimized algorithms of the surface reconstruction from stereo-images is proposed. The optimization is achieved by introducing some constraints on the conditions of image recording and by involving an a priory affirmation 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 optimization 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.

Citation Download Citation

Ivan A. Matveev and Alexander B. Murynin "3D surface reconstruction in automatic recognition system", Proc. SPIE 3516, 23rd International Congress on High-Speed Photography and Photonics, (22 June 1999); https://doi.org/10.1117/12.350521

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