High-performance Perspective Conversion Algorithm for Vehicle-mounted Heterogeneous Platforms

Wang Guangyu, Chen Fu, Lei Yuliang, Yang Bing

Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (5) : 53-56.

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PDF(2460 KB)
Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (5) : 53-56.
TECHNOLOGY REVIEW

High-performance Perspective Conversion Algorithm for Vehicle-mounted Heterogeneous Platforms

  • Wang Guangyu1,2, Chen Fu1, Lei Yuliang1, Yang Bing1
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Abstract

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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Wang Guangyu, Chen Fu, Lei Yuliang, Yang Bing. High-performance Perspective Conversion Algorithm for Vehicle-mounted Heterogeneous Platforms[J]. Integrated Circuits and Embedded Systems, 2022, 22(5): 53-56

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