基于RANSAC算法的无标定立体图像重建

N'djadjo Romuald Kouakou, A. Demirkol
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引用次数: 0

摘要

如今,计算机视觉是许多工程师梦寐以求的学科。目前在医学、教育、机器人、武器,甚至是最小的家电等领域的应用中都发挥着重要的作用。这些应用的主要和基本元素是相机,由于其实惠的价格,易于嵌入和低能耗,使其在计算机视觉系统中出色地工作成为可能。然而,设置相机需要一个工程师,他必须知道突出显示相机的大多数参数。前者是不容易的,特别是当一个人没有任何关于相机内部参数的信息用来拍摄图像。本文研究了利用内部参数未知的摄像机重建未标定立体图像的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncalibrated stereo image reconstruction based on RANSAC algorithm
Nowadays, Computer vision is a very coveted discipline by many engineers. It plays an important role in the current applications in the fields of medicine, education, robotics, weapons, even in the smallest home appliances etc. The main and essential element of these applications is the camera which by dint of its affordable price, its ease to be embedded and its lower consumption of energy makes it possible to work wonderfully in computer vision systems. However, setting up a camera requires an engineer who must know most of the parameters that highlight a camera. Former is not easy especially when one don't have any information about of the internal parameters of camera used to take images. In this paper, the use of a camera which an internal parameters are unknown has been investigated to reconstruct an uncalibrated stereo image.
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