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Implementation of the Lucas-Kanade Image Registration Algorithm on a GPU for 3D Computational Platform Stabilisation

机译:用于3D计算平台稳定的GPU的Lucas-Kanade图像登记算法的实现

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Image registration forms the basis of many computer vision tasks. The Lucas-Kanade image registration algorithm is known to efficiently solve the sub-problem of rigid image registration. It is therefore often used in image stabilisation applications. This paper presents the details of a real-time implementation of the Lucas-Kanade image registration algorithm on a Graphics Processing Unit (GPU) using the OpenGL Shading Language (GLSL). The implementation is driven by a real world requirement to computationally stabilise the undulatory motion of an ocean-based wide area surveillance system.
机译:图像注册构成了许多计算机视觉任务的基础。已知Lucas-Kanade图像配准算法有效地解决了刚性图像配准的子问题。因此,它通常用于图像稳定应用。本文介绍了使用OpenGL着色语言(GLSL)在图形处理单元(GPU)上的Lucas-Kanade图像登记算法的实时实施的细节。实施是由真实世界要求推动的,以计算稳定海洋的广域监测系统的过度运动。

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