Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements

Lytro cameras are equipped to capture 3D information in one exposure without the need for structured illumination, allowing greyscale depth maps of the captured image to be created using the Lytro desktop software. These consumer-grade light-field cameras (Lytro) provide a cost-effective method of m...

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Main Authors:	Shreedhar Rangappa, Ranveer S. Matharu, Jon Petzing, Peter Kinnell
Format:	Default Article
Published:	2019
Subjects:	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Theory of computation not elsewhere classified Lytro camera Plenoptic camera Depth values Response curve Machine vision Coordinate geometry Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing Computation Theory and Mathematics
Online Access:	https://hdl.handle.net/2134/37463
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id	rr-article-9565670
record_format	Figshare
spelling	rr-article-95656702019-03-04T00:00:00Z Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements Shreedhar Rangappa (5569478) Ranveer S. Matharu (7207526) Jon Petzing (1259430) Peter Kinnell (1255284) Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Theory of computation not elsewhere classified Lytro camera Plenoptic camera Depth values Response curve Machine vision Coordinate geometry Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing Computation Theory and Mathematics Lytro cameras are equipped to capture 3D information in one exposure without the need for structured illumination, allowing greyscale depth maps of the captured image to be created using the Lytro desktop software. These consumer-grade light-field cameras (Lytro) provide a cost-effective method of measuring the depth of multiple objects which is suitable for many applications. But, the greyscale depth maps generated using the Lytro cameras are in relative depth scale and hence not suitable for engineering applications where absolute depth is essential. In this research, camera control variables, environmental sensitivity, depth distortion characteristics, and the effective working range of first- and second-generation Lytro cameras were evaluated. In addition, a depth measuring technique to deliver 3D output depth maps represented in SI units (metres) is discussed in detail exhibiting the suitability of consumer-grade Lytro cameras suitability in metrological applications without significant modifications. 2019-03-04T00:00:00Z Text Journal contribution 2134/37463 https://figshare.com/articles/journal_contribution/Establishing_the_performance_of_low-cost_Lytro_cameras_for_3D_coordinate_geometry_measurements/9565670 CC BY 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Theory of computation not elsewhere classified Lytro camera Plenoptic camera Depth values Response curve Machine vision Coordinate geometry Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing Computation Theory and Mathematics
spellingShingle	Mechanical engineering not elsewhere classified Artificial intelligence not elsewhere classified Theory of computation not elsewhere classified Lytro camera Plenoptic camera Depth values Response curve Machine vision Coordinate geometry Mechanical Engineering not elsewhere classified Artificial Intelligence and Image Processing Computation Theory and Mathematics Shreedhar Rangappa Ranveer S. Matharu Jon Petzing Peter Kinnell Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
description	Lytro cameras are equipped to capture 3D information in one exposure without the need for structured illumination, allowing greyscale depth maps of the captured image to be created using the Lytro desktop software. These consumer-grade light-field cameras (Lytro) provide a cost-effective method of measuring the depth of multiple objects which is suitable for many applications. But, the greyscale depth maps generated using the Lytro cameras are in relative depth scale and hence not suitable for engineering applications where absolute depth is essential. In this research, camera control variables, environmental sensitivity, depth distortion characteristics, and the effective working range of first- and second-generation Lytro cameras were evaluated. In addition, a depth measuring technique to deliver 3D output depth maps represented in SI units (metres) is discussed in detail exhibiting the suitability of consumer-grade Lytro cameras suitability in metrological applications without significant modifications.
format	Default Article
author	Shreedhar Rangappa Ranveer S. Matharu Jon Petzing Peter Kinnell
author_facet	Shreedhar Rangappa Ranveer S. Matharu Jon Petzing Peter Kinnell
author_sort	Shreedhar Rangappa (5569478)
title	Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
title_short	Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
title_full	Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
title_fullStr	Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
title_full_unstemmed	Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements
title_sort	establishing the performance of low-cost lytro cameras for 3d coordinate geometry measurements
publishDate	2019
url	https://hdl.handle.net/2134/37463
_version_	1797552453870157824

Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements

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