Binocular Stereo Matching by Local Attraction
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Rapid 3d face data acquisition using a color-coded pattern and a stereo camera system
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Robust 3d face data acquisition using a sequential color-coded pattern and stereo camera system
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
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Stereo matching is an important step in 3D reconstruction, which is not yet solved satisfactorily. Efforts are necessary to enhance the matching quality and to diminish the processing time. To speed up the processing a parallel algorithm for coarse binocular epipolar image matching is presented here. Data from epipolar image line pairs are fed into a special parallel processing structure, which fulfills only simple operations such as convolution, averaging, and search for maxima. A priori information on possible maximum disparities is used too. A special smoothing algorithm can be applied to enhance the quality of the disparities. The method shall be applied as a first (coarse) approximation of 3D reconstruction using airborne digital stereo push-broom cameras but it can also be used for fast evaluation of data from other stereo systems. The quality of the method is demonstrated with the often-used Pentagon image pair.