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3D MEASUREMENT COMBINING MULTI-VIEW AND MULTI-FOCUS IMAGES USING LIGHT FIELD CAMERA
- Source :
- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 633-640 (2020)
- Publication Year :
- 2020
- Publisher :
- Copernicus GmbH, 2020.
-
Abstract
- In recent years, the demand for inexpensive, simple, and highly accurate 3D measurement has been increasing. Representative methods, photogrammetry, and shape from focus (SfF) have limitations in terms of measurement time and labour. In order to solve them, computational photography (CP) has been proposed. A light field camera, based on CP, has also been developed. It has a feature to acquire multi-view and multi-focus images simultaneously in one shot. It is possible to perform 3D measurements with less time and labour for photographing and calculation processing using these images. In this study, we combined the photogrammetry as applied to multi-view images with the SfF as applied to multi-focus images using a light field camera. We applied the proposed method to a rigid body and verified its accuracy. We confirmed that the proposed method achieved more accurate results than the photogrammetry and the SfF method. Furthermore, we applied the proposed method to screws and cracks on walls of buildings and affirmed its applicability. Finally, we suggested future work on the developed method.
- Subjects :
- lcsh:Applied optics. Photonics
0209 industrial biotechnology
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Bundle adjustment
02 engineering and technology
lcsh:Technology
01 natural sciences
Field (computer science)
law.invention
010309 optics
Computational photography
020901 industrial engineering & automation
law
0103 physical sciences
Computer vision
3d measurement
Light-field camera
lcsh:T
business.industry
lcsh:TA1501-1820
Rigid body
Photogrammetry
lcsh:TA1-2040
Feature (computer vision)
Artificial intelligence
lcsh:Engineering (General). Civil engineering (General)
business
Subjects
Details
- ISSN :
- 21949050
- Database :
- OpenAIRE
- Journal :
- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....38aed2d5bb942fc3f6570c98c2fea0e7
- Full Text :
- https://doi.org/10.5194/isprs-annals-v-2-2020-633-2020