Lucas-Kanade图像配准算法在GPU上的实现,用于三维计算平台稳定

B. Duvenhage, J. Delport, J. D. Villiers
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引用次数: 18

摘要

图像配准是许多计算机视觉任务的基础。Lucas-Kanade图像配准算法可以有效地解决刚性图像配准的子问题。因此,它经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)上实时实现Lucas-Kanade图像配准算法的细节。该实现是由现实世界对计算稳定海洋广域监视系统的波动运动的需求驱动的。
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Implementation of the Lucas-Kanade image registration algorithm on a GPU for 3D computational platform stabilisation
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.
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