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Fast hough transform on GPUs: exploration of algorithm trade-offs

Gert-Jan van den Braak, Cedric Nugteren, Bart Mesman, Henk Corporaal
Dept. of Electrical Engineering, Electronic Systems Group, Eindhoven University of Technology, The Netherlands
Advances Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, Volume 6915/2011, 611-622, 2011

@article{van2011fast,

   title={Fast hough transform on GPUs: exploration of algorithm trade-offs},

   author={van den Braak, G.J. and Nugteren, C. and Mesman, B. and Corporaal, H.},

   journal={Advances Concepts for Intelligent Vision Systems},

   pages={611–622},

   year={2011},

   publisher={Springer}

}

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The Hough transform is a commonly used algorithm to detect lines and other features in images. It is robust to noise and occlusion, but has a large computational cost. This paper introduces two new implementations of the Hough transform for lines on a GPU. One focuses on minimizing processing time, while the other has an input-data independent processing time. Our results show that optimizing the GPU code for speed can achieve a speed-up over naive GPU code of about 10x. The implementation which focuses on processing speed is the faster one for most images, but the implementation which achieves a constant processing time is quicker for about 20% of the images.
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