Μελέτη μεθόδων στερεοσκοπικής επεξεργασίας με χρήση εξειδικευμένου υλικού

Abstract

The processing results of two stereo accelerators implemented in reconfigurable hardware are presented. The first system implements a local method to find correspondences, the sum of absolute differences, while the second uses a global approach based on dynamic programming. The basic design principles of the two systems are presented and the systems are tested using a multitude of reference test benches. The resulting disparity maps are compared in terms of rms error and percentage of bad matches, using both textured and textureless image areas. A stereo head is developed and used with the accelerators, testing their ability in a real-world experiment of map reconstruction in real-time. It is shown that the DP-based accelerator produces the best results in almost all cases and has advantages over traditional hardware implementations based on local SAD correlation.