
Proceedings Paper
Fusion of light-field and photogrammetric surface form dataFormat | Member Price | Non-Member Price |
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Paper Abstract
Photogrammetry based systems are able to produce 3D reconstructions of an object given a set of images taken from different orientations. In this paper, we implement a light-field camera within a photogrammetry system in order to capture additional depth information, as well as the photogrammetric point cloud. Compared to a traditional camera that only captures the intensity of the incident light, a light-field camera also provides angular information for each pixel. In principle, this additional information allows 2D images to be reconstructed at a given focal plane, and hence a depth map can be computed. Through the fusion of light-field and photogrammetric data, we show that it is possible to improve the measurement uncertainty of a millimetre scale 3D object, compared to that from the individual systems. By imaging a series of test artefacts from various positions, individual point clouds were produced from depth-map information and triangulation of corresponding features between images. Using both measurements, data fusion methods were implemented in order to provide a single point cloud with reduced measurement uncertainty.
Paper Details
Date Published: 23 August 2017
PDF: 8 pages
Proc. SPIE 10373, Applied Optical Metrology II, 1037304 (23 August 2017); doi: 10.1117/12.2272999
Published in SPIE Proceedings Vol. 10373:
Applied Optical Metrology II
Erik Novak; James D. Trolinger, Editor(s)
PDF: 8 pages
Proc. SPIE 10373, Applied Optical Metrology II, 1037304 (23 August 2017); doi: 10.1117/12.2272999
Show Author Affiliations
Danny Sims-Waterhouse, The Univ. of Nottingham (United Kingdom)
Samanta Piano, The Univ. of Nottingham (United Kingdom)
Samanta Piano, The Univ. of Nottingham (United Kingdom)
Richard K. Leach, The Univ. of Nottingham (United Kingdom)
Published in SPIE Proceedings Vol. 10373:
Applied Optical Metrology II
Erik Novak; James D. Trolinger, Editor(s)
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