A Structured Light 3D Measurement System Based on Heterogeneous Parallel Computation Model

We present a structured light measurement system to collect high accuracy surface information of the measured object with a good real-time performance. Utilizing phase-shifting method in conjunction with a matching method proposed in this paper which can significantly reduce the noisy points, we can achieve high accuracy and noiseless point cloud in a complex industrial environment. Due to the use of the heterogeneous parallel computation model, the parallelism of the algorithm is developed in a deep way. The OpenMP+CUDA hybrid computing model is then used in the system to get a better real-time performance.