Real-Time Motion Estimation and Visualization on Graphics Cards
VIS '04 Proceedings of the conference on Visualization '04
A comparison of image sharpness metrics and real-time sharpening methods with GPU implementations
Proceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa
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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.