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Camera Calibration based Multi-objects Location in Binocular Stereo Vision

机译:基于相机校准基于双望远镜的多物体位置

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In order to capture high quality binocular stereo video, it is necessary to manipulate both the convergence and the interaxial to take control of the depth of objects within the 3D space. Therefore the scene understanding becomes important as it can increase the efficiency of parameters control. In this paper, a camera calibration based multi-objects location method is introduced with the motivation that supply prior information of adjusting the convergence and the interaxial during capturing. Firstly, we are intended to calibrate the two cameras to get the intrinsic and extrinsic parameters. And then, we select points of the object in the images taken by left and right cameras respectively to determine its locations in the two images. With three-dimensional coordinate of objects, the distance between the object and camera baseline is calculated by mathematical methods.
机译:为了捕获高质量的双目立体视频,必须操纵收敛和交互,以控制3D空间内的物体深度。 因此,场景理解变得重要,因为它可以提高参数控制的效率。 在本文中,引入了一种基于摄像机校准的多物体定位方法,其中包括提供调整收敛性和互幅轴向的先前信息的动机。 首先,我们旨在校准两个相机以获得内在和外在参数。 然后,我们分别选择由左和右摄像机拍摄的图像的点,以确定其两个图像中的位置。 利用对象的三维坐标,对象和相机基线之间的距离通过数学方法计算。

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