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Data for Improved 3D localisation of multiple small objects in close-proximity in digital holography
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Hall, Matthew, McCall, Philip J., Towers, Catherine E. and Towers, David P. (2020) Data for Improved 3D localisation of multiple small objects in close-proximity in digital holography. [Dataset]
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AO_MHall_201109.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (183Mb) |
Abstract
Using intensity gradient based or sparsity based focus metrics, the ability to accurately localize the 3D position of a small object in a digital holographic reconstruction of a large field of view is hindered in the presence of multiple nearby objects. A more accurate alternative method for 3D localization, based on evaluation of the complex reconstructed volume, is proposed. Simulations and experimental data demonstrate a reduction in depth positional error for single objects and a notably improved axial resolution of multiple objects in close proximity.
Item Type: | Dataset | ||||||
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Subjects: | Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Type of Data: | Experimental data | ||||||
Library of Congress Subject Headings (LCSH): | Holography -- Data processing, Image processing -- Digital techniques, Three-dimensional imaging | ||||||
Publisher: | University of Warwick, School of Engineering | ||||||
Official Date: | 10 November 2020 | ||||||
Dates: |
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .mat .tiff | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | Data record consists of a single zip archive containing the raw data divided into subfolders according to raw data contained within. |
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Date of first compliant deposit: | 16 November 2020 | ||||||
Date of first compliant Open Access: | 16 November 2020 | ||||||
RIOXX Funder/Project Grant: |
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Contributors: |
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