基于马赛克的全景深度成像与一个单一的标准相机

Peter Peer, F. Solina
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引用次数: 6

摘要

本文介绍了一种全景深度成像系统。该系统是基于马赛克的,这意味着我们使用单个旋转相机并将捕获的图像组装在马赛克中。由于a,相机的光学中心从系统的旋转中心的偏移,我们能够捕捉运动视差效果,使立体重建。相机沿圆周路径旋转,其步长由角度定义,相当于捕获图像的一列。深度估计方程可以很容易地从系统几何中提取出来。为了在立体全景图像对上找到相应的点,需要确定极极几何形状。如果我们基于对称的一对立体全景图像进行重建,可以看出极面几何结构非常简单。当我们在捕获的图像中心列的左右两侧取对称列时,我们得到对称的立体全景图像对。对称的全景图像对的极线是图像行。我们主要集中于系统分析。生成的深度图像的立体重建过程和质量评价结果都很有希望。该系统在小型室内空间的重建中表现良好。我们的最终目标是开发一个在房间里移动机器人的自动导航系统。
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Mosaic-based panoramic depth imaging with a single standard camera
In this article we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a, setoff of the camera's optical center from the rotational center of the system we are able to capture the motion parallax effect which enables the stereo reconstruction. The camera is rotating on a circular path with the step defined by an angle, equivalent to one column of the captured image. The equation for depth estimation can be easily extracted from system geometry. To find the corresponding points on a stereo pair of panoramic images the epipolar geometry needs to be determined. It can be shown that the epipolar geometry is very simple if we are doing the reconstruction based on a symmetric pair of stereo panoramic images. We get a symmetric pair of stereo panoramic images when we take symmetric columns on the left and on the right side from the captured image center column. Epipolar lines of the symmetrical pair of panoramic images are image rows. We focused mainly on the system analysis. Results of the stereo reconstruction procedure and quality evaluation of generated depth images are quite promising. The system performs well in the reconstruction of small indoor spaces. Our final goal is to develop a system for automatic navigation of a mobile robot in a room.
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Range-space approach for generalized multiple baseline stereo and direct virtual view synthesis A hierarchical stereo algorithm using dynamic programming Rectangular subregioning and 3-D maximum-surface techniques for fast stereo matching Combination of stereo, motion and rendering for 3D footage display Mosaic-based panoramic depth imaging with a single standard camera
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