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An Enhancement Method of Obtaining Interest Points in Binocular Vision

机译:从双目视觉中获取兴趣点的增强方法

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The key element of obtaining the depth value by stereo matching in binocular vision is interest points. The more interest points, the more computational burdens normalized cross-correlation (NCC) stereo correspondence has. The paper proposes a method based on image enhancement realized among indoor or urban canyon which aims at making a better trade-off between the quantity of interest points and the computational burdens. In this paper, for some cases in normalized cross-correlation (NCC) stereo correspondence period, two times more interest points were obtained by using the proposed image enhancement method than function "stretchlim" and "imadjust". The proposed method will be carried out by various platforms with binocular vision such as Unmanned Aerial Vehicles (UAVs) and other ground robots to realize obstacles detection and avoidance.
机译:在双目视觉中通过立体声匹配获得深度值的关键元素是感兴趣的点。令人兴趣的点越多,计算负担越多的互相关(NCC)立体对应的越多。本文提出了一种基于在室内或城市峡谷中实现的图像增强的方法,其旨在在感兴趣点和计算负担的数量之间进行更好的权衡。在本文中,对于归一化互相关(NCC)立体声对应期的一些情况,通过使用所提出的图像增强方法获得比功能“STRATCHLIM”和“IMADJUST”所获得的两倍感兴趣点。所提出的方法将由各种平台进行双目视觉,例如无人驾驶飞行器(无人机)和其他地机器人,以实现障碍物检测和避免。

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