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Photogrammetric determination of the location and orientation of a group of cameras for a perspective transformation on a new autostereoscopic display

机译:摄影测量在新的自动立体显示器上透视变换的一组相机的位置和方向的确定

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This paper presents a methodology for determining the spacial location and orientation of a multi-viewpoint image set (MVIS) in relation to an absolute coordinate system for their projection on a new autostereoscopic display based on the angular image differentiation system patented by Montes. The different points of view from which a real scene is acquired are most of the time completely unknown a priori. To determine such camera locations and orientations, two algorithms based on photogrammetric techniques are applied. The first one named `Numerical plotting of a photo pair' consists on the calculation of the relative orientation of two different photographs of the scene. The second algorithm named `Resection in space' takes into account the projection of the 3D points onto the rest of the photographs to determine their absolute location and orientation. Once the absolute location and orientation of each of the images of the MVIS is known, a perspective correction is needed before its projection. This is done so because the image perspective deformations can introduce visual distortions that could be appreciated by an observer. For this purpose, a backward warping transformation is applied to each image depending on the positions of both the acquisition coordinate system, calculated through the previously mentioned algorithms, and the reproduction coordinate system.
机译:本文提出了一种方法,用于确定多视点图像集(MVIS)的间隔位置和取向,相对于基于由Montes专利的角度图像分化系统对新的自动立体显示器进行投影的绝对坐标系。获取真实场景的不同观点是大多数时间完全未知先验。为了确定这种相机位置和方向,应用了基于摄影测量技术的两种算法。第一个命名为“照片对”的数字绘图'包括计算场景两种不同照片的相对取向。在空间中命名为“切除”的第二算法考虑到3D点的投影到照片的其余部分以确定它们的绝对位置和方向。一旦知道MVIS的每个图像的绝对位置和取向,就在投影之前需要透视校正。这是这样的,因为图像透视变形可以引入观察者可以理解的视觉扭曲。为此目的,根据先前提到的算法计算的获取坐标系的位置和再现坐标系,向后翘曲变换应用于每个图像。

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