Efficient Projective Transformation and Lanczos Interpolation on ARM Platform using SIMD Instructions

Konstantinos Papadopoulos, Kyriakos Vlachos

2018

Abstract

This paper proposes a novel way of exploiting NEON SIMD instructions for accelerating projective transformation in ARM platforms. Instead of applying data parallelism to linear algorithms, we study the effectiveness of SIMD intrinsics on this non-linear algorithm. For image resampling, Lanczos interpolation is used since it is adequately accurate, despite its rather large complexity. Multithreading is also employed for optimal use of system resources. Moreover, qualitative and quantitative results of NEON’s performance are presented and analyzed.

Paper Citation

in Harvard Style

Papadopoulos K. and Vlachos K. (2018). Efficient Projective Transformation and Lanczos Interpolation on ARM Platform using SIMD Instructions. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 95-100. DOI: 10.5220/0006547000950100

in Bibtex Style

@conference{visapp18,
author={Konstantinos Papadopoulos and Kyriakos Vlachos},
title={Efficient Projective Transformation and Lanczos Interpolation on ARM Platform using SIMD Instructions},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={95-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006547000950100},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Efficient Projective Transformation and Lanczos Interpolation on ARM Platform using SIMD Instructions
SN - 978-989-758-290-5
AU - Papadopoulos K.
AU - Vlachos K.
PY - 2018
SP - 95
EP - 100
DO - 10.5220/0006547000950100
PB - SciTePress