Light field 3D measurement using unfocused plenoptic cameras

2018 ◽  
Vol 43 (15) ◽  
pp. 3746 ◽  
Author(s):  
Zewei Cai ◽  
Xiaoli Liu ◽  
Qijian Tang ◽  
Xiang Peng ◽  
Bruce Zhi Gao
Keyword(s):  
Light Field ◽  
3D Measurement

scholarly journals Learning-based active 3D measurement technique using light field created by video projectors

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuki Shiba ◽  
Satoshi Ono ◽  
Ryo Furukawa ◽  
Shinsaku Hiura ◽  
Hiroshi Kawasaki
Keyword(s):  
Measurement Technique ◽  
Light Field ◽  
3D Measurement

scholarly journals 3D MEASUREMENT COMBINING MULTI-VIEW AND MULTI-FOCUS IMAGES USING LIGHT FIELD CAMERA

2020 ◽  
Vol V-2-2020 ◽  
pp. 633-640
Author(s):  
T. Fuse ◽  
Y. Kajihara
Keyword(s):  
Rigid Body ◽  
Light Field ◽  
Computational Photography ◽  
Measurement Time ◽  
3D Measurement ◽  
3D Measurements ◽  
Calculation Processing ◽  
Future Work ◽  
Shape From Focus

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.

scholarly journals Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4399 ◽  
Author(s):  
Haoxin Ma ◽  
Zhiwen Qian ◽  
Tingting Mu ◽  
Shengxian Shi
Keyword(s):  
Light Field ◽  
Spatial Information ◽  
3D Models ◽  
Image Sensor ◽  
Disparity Estimation ◽  
3D Measurement ◽  
Real World Data ◽  
Multi Scale ◽  
Micro Lens Array ◽  
3D Measurement System

The precise combination of image sensor and micro-lens array enables light-field cameras to record both angular and spatial information of incoming light, therefore, one can calculate disparity and depth from one single light-field image captured by one single light-field camera. In turn, 3D models of the recorded objects can be recovered, which means a 3D measurement system can be built using a light-field camera. However, reflective and texture-less areas in light-field images have complicated conditions, making it hard to correctly calculate disparity with existing algorithms. To tackle this problem, we introduce a novel end-to-end network VommaNet to retrieve multi-scale features from reflective and texture-less regions for accurate disparity estimation. Meanwhile, our network has achieved similar or better performance in other regions for both synthetic light-field images and real-world data compared to the state-of-the-art algorithms.

The Impact of Light Polarisation on Light Field of Scenes with Multiple Reflections

2020 ◽  
pp. 108-115 ◽  
Author(s):  
Vladimir P. Budak ◽  
Anton V. Grimaylo
Keyword(s):  
Mathematical Model ◽  
Light Field ◽  
Global Illumination ◽  
Multiple Reflections ◽  
Software Environment ◽  
The Monte Carlo Method ◽  
Mueller Matrices ◽  
Volume Integration ◽  
The Impact

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.

Reconstruction of Smoke based on Light Field Consistency

2016 ◽  
Vol 136 (12) ◽  
pp. 522-531
Author(s):  
Yuta Ideguchi ◽  
Yuki Uranishi ◽  
Shunsuke Yoshimoto ◽  
Yoshihiro Kuroda ◽  
Masataka Imura ◽  
...  
Keyword(s):  
Light Field

Full-parallax spherical light field display using mirror array

2018 ◽  
Vol 2018 (4) ◽  
pp. 142-1-142-5
Author(s):  
Hiroaki Yano ◽  
Tomohiro Yendo
Keyword(s):  
Light Field

EPIModules on a Geodesic: Toward 360° Light-Field Imaging

2019 ◽  
Vol 2019 (3) ◽  
pp. 636-1-636-6
Author(s):  
H. Harlyn Baker ◽  
Gregorij Kurillo ◽  
Allan Miller ◽  
Alessandro Temil ◽  
Tom Defanti ◽  
...  
Keyword(s):  
Light Field ◽  
Light Field Imaging ◽  
Field Imaging

Counterfeit Parts Recognition and Detection for Failure Analysts

2010 ◽  
Author(s):  
Katherine V. Whittington
Keyword(s):  
Thermal Cycle ◽  
Visual Inspection ◽  
Acoustic Microscopy ◽  
Scanning Acoustic Microscopy ◽  
3D Measurement ◽  
X Ray ◽  
Wide Range ◽  
Electronic Parts ◽  
Testing Awareness

Abstract The electronics supply chain is being increasingly infiltrated by non-authentic, counterfeit electronic parts, whose use poses a great risk to the integrity and quality of critical hardware. There is a wide range of counterfeit parts such as leads and body molds. The failure analyst has many tools that can be used to investigate counterfeit parts. The key is to follow an investigative path that makes sense for each scenario. External visual inspection is called for whenever the source of supply is questionable. Other methods include use of solvents, 3D measurement, X-ray fluorescence, C-mode scanning acoustic microscopy, thermal cycle testing, burn-in technique, and electrical testing. Awareness, vigilance, and effective investigations are the best defense against the threat of counterfeit parts.

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