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]

Archive (ZIP) (Zip archive) AO_MHall_201109.zip - Published Version Available under License Creative Commons Attribution 4.0. Download (183Mb)

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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
Subjects:	Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General)
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:	Date Event 10 November 2020 Created
Status:	Not Peer Reviewed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. Folder 01_Simulation_Data_Resized_Holograms contains two subsequent subfolders, 01_Single_Object and 02_Multiple_Object, both containing raw data in .mat format. Folder 02_Physical_Data_Holograms contains two subsequent subfolders, Mosquito_Image and Two_BallBearing_Images, containing raw data in .tiff format.
Date of first compliant deposit:	16 November 2020
Date of first compliant Open Access:	16 November 2020
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID EP/N509796/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266
Related URLs:	Related item in WRAP Other
Contributors:	Contribution Name Contributor ID Depositor Hall, Matthew 82012

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