摘要
现有的车载全景影像系统普遍存在低实时性和图像质量不佳的问题,针对其中消耗时间和硬件算力最多的视角转换进行重点优化,阐述一种面向车载异构平台的高性能视角转换算法。首先结合有效线段检测和角点检测设计一种改进的最优控制点检测算法,甄选出精确的角点坐标用于透视变换矩阵的求取;然后采用基于局部的双矩阵视角转换算法,得出效果优良的俯视图;最后基于开放运算语言在车载异构平台上实现整套算法。实验结果表明,该算法在硬件友好的基础上缩减了计算耗时,有效提升了图像转换质量和车载全景影像系统的实用性。
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 perspec-tive transformation matrix.Then use the local-based dual-matrix perspective conversion algorithm to get the effect excellent top view.Fi-nally,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 im-proving the quality of image conversion and the practicability of the vehicle-mounted panoramic imaging system.
作者
王光宇
陈福
雷煜靓
杨兵
Wang Guangyu;Chen Fu;Lei Yuliang;Yang Bing(AVIC Xi'an Aeronautics Computing Technique Research Institute,Xi'an 710065,China;Beijing University of Aeronautics and Astronautics)
出处
《单片机与嵌入式系统应用》
2022年第5期53-56,61,共5页
Microcontrollers & Embedded Systems
关键词
视角转换
有效线段检测
角点检测
透视变换矩阵
OPENCL
perspective conversion
effective line detection
corner detection
perspective transformation matrix
OpenCL
