Fast Implementation of a New Radial Symmetry Measure for Photogrammetry

Industrial applications of photogrammetry usually involve the detection and recognition of targets placed on the surface of objects. The existing algorithms that allow to cope with the varying conditions of industrial environments are computationally very expensive. This paper proposes an implementation on graphics processing unit (GPU) for the detection of circular targets based on radial symmetry detection and parallel implementation in central processing unit (CPU) for location and recognition of these targets. The tests we have performed show the efficiency of GPU and CPU implementation in terms of execution times and performance.