Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation
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Date
2017-06
Authors
Wilk, Mariusz P.
Urru, Andrea
Tedesco, Salvatore
O'Flynn, Brendan
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
Abstract
With the continuous developments in vision sensor technology, highly miniaturized low-power and wearable vision sensing is becoming a reality. Several wearable vision applications exist which involve point tracking. The ability to efficiently detect points at a sub-pixel level can be beneficial, as the accuracy of point detection is no longer limited to the resolution of the vision sensor. In this work, we propose a novel Simplified Linear Interpolation (SLI) algorithm that achieves high computational efficiency, which outperforms existing algorithms in terms of the accuracy under certain conditions. We present the principles underlying our algorithm and evaluate it in a series of test scenarios. Its performance is finally compared to similar algorithms currently available in the literature.
Description
Keywords
Sub-pixel , Point detection , Low power , Wearable , Vision , Approximation , Cameras , Image sensors , Interpolation , Object detection , Object tracking , Image resolution , Algorithm
Citation
Wilk, M. P., Urru, A., Tedesco, S. and O'Flynn, B. (2017) 'Sub-pixel point detection algorithm for point tracking with low-power wearable camera systems: a simplified linear interpolation', 28th Irish Signals and Systems Conference (ISSC), Killarney, Ireland, 20-21 June. doi:10.1109/ISSC.2017.7983629
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Copyright
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