In order to overcome several disadvantages of traditional RANSAC,a parallel improved RANSAC based on CUDA was presented. With guaranteeing the same confidence of the solution as traditional RANSAC，the proposed method parallelly dosed sampling， computed and verified model, and found out the most suitable parameters. Meanwhile，NVIDIA’s CUDA was chosen as parallel computation environment，and by exploiting the GPU’s hardware feature for general-purpose computing，GPU computational model of RANSAC was designed and implemented. Experiments showed that parallel improved RANSAC based on CUDA can overcome disadvantages of traditional RANSAC，and retain its simplicity and easy-to-use.
