The existing vehicle-mounted panoramic image system generally has the problems of low real-time performance and poor image quality.Focusing on the perspective conversion that consume the most time and hardware computing power,optimize and elaborate a high-performance perspective conversion algorithm for vehicle-mounted heterogeneous platforms.Firstly,combine effective line detection and corner detection,design an improved optimal control point detection algorithm,select the precise corner coordinates for the perspective transformation matrix.Then use the local-based dual-matrix perspective conversion algorithm to get the effect excellent top view.Finally,implement the high-performance perspective conversion algorithm on the vehicle-mounted heterogeneous platform based on OpenCL.The experiment results show that the algorithm is based on hardware-friendly,reducing computational time,and effectively improving the quality of image conversion and the practicability of the vehicle-mounted panoramic imaging system.
Key words
perspective conversion /
effective line detection /
corner detection /
perspective transformation matrix /
OpenCL
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