Realtime dense stereo matching with dynamic programming in CUDA

Real-time depth extraction from stereo images is an important process in computer vision -- This paper proposes a new implementation of the dynamic programming algorithm to calculate dense depth maps using the CUDA architecture achieving real-time performance with consumer graphics cards -- We compare the running time of the algorithm against CPU implementation and demonstrate the scalability property of the algorithm by testing it on different graphics card