Application of Image Pyramid for Surface Reconstruction with FAST Vision ((velence)Facets Stereo Vision)

摘要

The performance of FAST Vision. which is an iterative method for the reconstruction of both object surface and orthophoto from two or more images. is determined by two measures: radius and rate of convergence. On one hand the radius of convergence should be as large as possible in order to make It possible to start FAST Vision with coarse approximate values for surface heights. which can be determined without much effort. On the other hand. a high rate of convergence is desired to reduce the time needed for reconstruction. Both aims can be achieved by the application of an image pyramid within the FAST Vision method. Experiments show. that by this way the rate of convergence can be increased by the factor of about 10. Furthermore. combining the image pyramid with the technique of object lifting delivers a method for obtaining very reliable starting values under very general circumstances.