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      Plane dimension detection with a single camera based on a flat refractive camera model

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          Abstract

          It is common that a pinhole camera captures object images through a transparent plate with two parallel planar faces. In this case, the refraction leads to a non-linear error using the simple pinhole model. To address this issue, a modified pinhole camera model, which is called flat refractive camera model, is established based on the analysis of light refraction in the transparent plate placed between the scene and the camera. Then, an effective backward-projection algorithm is proposed to realise plane dimension detection and eliminate the plate refraction effect. Unlike other models, this proposed model has a form similar to the pinhole camera model. Therefore, it is easy to employ conventional vision techniques in the plate imaging system. At the same time, experiments are designed to demonstrate the plane dimension detection based on the proposed method. Experimental results show that the proposed method can obtain higher accuracy than the traditional method without considering the plate refraction effect.

          Most cited references11

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          Experimental verification and simulation of negative index of refraction using Snell's law.

          We report the results of a Snell's law experiment on a negative index of refraction material in free space from 12.6 to 13.2 GHz. Numerical simulations using Maxwell's equations solvers show good agreement with the experimental results, confirming the existence of negative index of refraction materials. The index of refraction is a function of frequency. At 12.6 GHz we measure and compute the real part of the index of refraction to be -1.05. The measurements and simulations of the electromagnetic field profiles were performed at distances of 14lambda and 28lambda from the sample; the fields were also computed at 100lambda.
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            Measuring Curved Surfaces for Robot Vision

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              Flat Refractive Geometry.

              While the study of geometry has mainly concentrated on single viewpoint (SVP) cameras, there is growing attention to more general non-SVP systems. Here, we study an important class of systems that inherently have a non-SVP: a perspective camera imaging through an interface into a medium. Such systems are ubiquitous: They are common when looking into water-based environments. The paper analyzes the common flat-interface class of systems. It characterizes the locus of the viewpoints (caustic) of this class and proves that the SVP model is invalid in it. This may explain geometrical errors encountered in prior studies. Our physics-based model is parameterized by the distance of the lens from the medium interface, besides the focal length. The physical parameters are calibrated by a simple approach that can be based on a single frame. This directly determines the system geometry. The calibration is then used to compensate for modeled system distortion. Based on this model, geometrical measurements of objects are significantly more accurate than if based on an SVP model. This is demonstrated in real-world experiments. In addition, we examine by simulation the errors expected by using the SVP model. We show that when working at a constant range, the SVP model can be a good approximation.
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                Author and article information

                Contributors
                Journal
                JOE
                The Journal of Engineering
                J. Eng.
                The Institution of Engineering and Technology
                2051-3305
                21 January 2019
                25 February 2019
                March 2019
                : 2019
                : 3
                : 647-651
                Affiliations
                National Engineering Research Center of Flat Rolling Equipment, University of Science and Technology Beijing , 30 Xueyuan Road, Beijing, People's Republic of China
                Article
                JOE.2018.5124 JOE.2018.5124.R1
                10.1049/joe.2018.5124
                fd7aff6e-22b5-4cdb-9fcb-ebd238c0b7ff

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                History
                : 2 July 2018
                : 29 November 2018
                : 9 January 2019
                Page count
                Pages: 0
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 51604024
                Funded by: Natural Science Foundation of Beijing Municipality
                Award ID: 3182026
                Categories
                ee-sip
                Research Article

                Software engineering,Data structures & Algorithms,Robotics,Networking & Internet architecture,Artificial intelligence,Human-computer-interaction
                cameras,flat refractive camera model,plane dimension detection,transparent plate,light refraction,plate imaging system,single camera,simple pinhole model,modified pinhole camera model,plate refraction effect,computer vision

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