摘要
以计算机视觉中热门课题——三维重建技术为研究对象,分析了开放计算机视觉函数库OpenCV中的三维重建模型,通过6个步骤,主要是摄像机标定和立体匹配中极线约束方法的使用,给出了基于OpenCV的三维重建算法.该算法充分发挥了OpenCV的函数库功能,提高了计算的精度效率,具有良好的跨平台移植性,可以满足各种计算机视觉系统的需要.
In this paper, for the 3-D reconstruction which is pop task in the computer vision, reconstruction model in OpenCV （open source computer vision library） is discussed, through 6 steps, in which the main are camera calibration and epipolar constraint of the stereo matching, and an arithmetic of 3-D reconstruction based on OpenCV is given. This arithmetic makes use of the functions of the library effectively, improves precision and efficiency of computation, and has a good property for the application to multi-platform. It can meet the needs of other computer vision systems.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第12期29-32,共4页
Microelectronics & Computer
基金
陕西省自然科学基金项目(2007F26)
陕西省教育厅专项科研计划项目(05JK145)
