Paper
26 November 2007 Application of improved cubic convolution interpolation in circular target location
Zhijing Yu, Xiayan Si, Yanbin Xu, Dongrui He, Lingli Xia, Qingji Gao
Author Affiliations +
Abstract
The precision of target sub-pixel centroid location directly affects the result of large scale vision 3D coordinates measurement. This paper deeply studies the sub-pixel centroid location algorithm of retro-reflective targets and infrared optical targets used in 3D coordinates measurement system, and makes use of improved cubic convolution interpolation algorithm to increase the number of effective pixels used in centroid location, then gives optimizing adjustment parameters for different types of targets and combined with squared gray weighted centroid location algorithm, finally realizes accurate target sub-pixel centroid location. This algorithm is proved to be effective and robust by simulations and experiments.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhijing Yu, Xiayan Si, Yanbin Xu, Dongrui He, Lingli Xia, and Qingji Gao "Application of improved cubic convolution interpolation in circular target location", Proc. SPIE 6829, Advanced Materials and Devices for Sensing and Imaging III, 68290K (26 November 2007); https://doi.org/10.1117/12.756629
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Convolution

3D metrology

3D vision

3D acquisition

Infrared radiation

Computer simulations

Back to Top