Light-stripes fast matching method for raster binocular stereo vision sensor

Raster binocular stereo vision sensor is widely used in 3D measurement, and one of its difficulties is light-stripe matching and recognizing. Based on the relationship between the viewed stripes number and the stripe sequence combination, a fast matching method for light-stripe based on 3D searching was proposed. The raster binocular stereo vision system was regarded as two raster structured light sensors, and then was calibrated under one common coordinated system. So, the 3D coordinates of the light stripes center points were obtained by the two raster structured light sensors, respectively, as well as the distances between the light-stripe center points. As a result, the light-stripes whose model numbers are equal and have the minimal distance are matching stripes. All the possible combinations were listed after the relationship between the viewed stripes number and the stripe sequence combination, and the matching method was designed with the character of much less extra calculations which brings about less computational burden. The experiment results show the effectiveness of the method.