scholarly journals Star sensor calibration with separation of intrinsic and extrinsic parameters

2020 ◽  
Vol 28 (14) ◽  
pp. 21318
Author(s):  
Qiaoyun Fan ◽  
Kangkang He ◽  
Gangyi Wang
Keyword(s):  
Sensor Calibration ◽  
Star Sensor ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

Star sensor calibration based on integrated modelling with intrinsic and extrinsic parameters

Measurement ◽  
2014 ◽  
Vol 55 ◽  
pp. 117-125 ◽  
Author(s):  
Xinguo Wei ◽  
Guangjun Zhang ◽  
Qiaoyun Fan ◽  
Jie Jiang ◽  
Jian Li
Keyword(s):  
Integrated Modelling ◽  
Sensor Calibration ◽  
Star Sensor ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

scholarly journals The Influence of Light Irradiation on the Photocatalytic Degradation of Organic Pollutants

Materials ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2494
Author(s):  
Alexandru Enesca ◽  
Luminita Isac
Keyword(s):  
Tin Oxide ◽  
Photon Flux ◽  
Photocatalytic Efficiency ◽  
Photocatalytic Process ◽  
Kinetic Evaluation ◽  
Conductive Substrate ◽  
Extrinsic Parameters ◽  
Total Irradiance ◽  
Overall Efficiency ◽  
Intrinsic And Extrinsic Parameters

The design of a photocatalytic process must consider intrinsic and extrinsic parameters affecting its overall efficiency. This study aims to outline the importance of balancing several factors, such as radiation source, total irradiance, photon flux, catalyst substrate, and pollutant type in order to optimize the photocatalytic efficiency. Titanium oxide was deposed by the doctor blade technique on three substrates (microscopic glass (G), flour-doped tin oxide (FTO), and aluminum (Al)), and the photocatalytic properties of the samples were tested on two pollutants (tartrazine (Tr) and acetamiprid (Apd)). Seven irradiation scenarios were tested using different ratios of UV-A, UV-B + C, and Vis radiations. The results indicated that the presence of a conductive substrate and a suitable ratio of UV-A and Vis radiations could increase the photocatalytic efficiency of the samples. Higher efficiencies were obtained for the sample Ti_FTO (58.3% for Tr and 70.8% for Apd) and the sample Ti_Al (63.8% for Tr and 82.3% for Apd) using a mixture of three UV-A and one Vis sources (13.5 W/m2 and 41.85 μmol/(m2·s)). A kinetic evaluation revealed two different mechanisms of reaction: (a) a one-interval mechanism related to Apd removal by Ti_FTO, Ti_Al (scenarios 1, 4, 5, and 7), and Ti_G samples (scenario 7) and (b) a two-interval mechanism in all other cases.

scholarly journals A Structured Light RGB-D Camera System for Accurate Depth Measurement

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Van Luan Tran ◽  
Huei-Yung Lin
Keyword(s):  
Template Matching ◽  
Structured Light ◽  
Gray Code ◽  
Object Surface ◽  
Camera System ◽  
3D Vision ◽  
Depth Measurement ◽  
Sensing System ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

The ability to reliably measure the depth of the object surface is very important in a range of high-value industries. With the development of 3D vision techniques, RGB-D cameras have been widely used to perform the 6D pose estimation of target objects for a robotic manipulator. Many applications require accurate shape measurements of the objects for 3D template matching. In this work, we develop an RGB-D camera based on the structured light technique with gray-code coding. The intrinsic and extrinsic parameters of the camera system are determined by a calibration process. 3D reconstruction of the object surface is based on the ray triangulation principle. We construct an RGB-D sensing system with an industrial camera and a digital light projector. In the experiments, real-world objects are used to test the feasibility of the proposed technique. The evaluation carried out using planar objects has demonstrated the accuracy of our RGB-D depth measurement system.

A Camera Calibration Method Based on Plane Grid Points

2011 ◽  
Vol 230-232 ◽  
pp. 723-727 ◽  
Author(s):  
Bao Feng Zhang ◽  
Xiu Zhen Tian ◽  
Xiao Ling Zhang
Keyword(s):  
Camera Calibration ◽  
Model Calibration ◽  
Calibration Method ◽  
Translation Vector ◽  
Plane Model ◽  
Extrinsic Parameters ◽  
Computer Vision Systems ◽  
Grid Points ◽  
Intrinsic And Extrinsic Parameters ◽  
Plane Grid

In order to simplify previous camera calibration method, this paper put forward an easy camera calibration method based on plane grid points on the foundation of Heikkila plane model calibration method. Intrinsic and extrinsic parameters of the camera are calibrated with MATLAB, then the rotation matrix and the translation vector are calculated. The experiment results show this method is not only simple in practice, but also can meet the needs of computer vision systems.

Intrinsic and Extrinsic Parameters for Controlling the Growth of Organic Single-Crystalline Nanopillars in Photovoltaics

Nano Letters ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 5547-5554 ◽  
Author(s):  
Yue Zhang ◽  
Ying Diao ◽  
Hyunbok Lee ◽  
Timothy J. Mirabito ◽  
Richard W. Johnson ◽  
...  
Keyword(s):  
Single Crystalline ◽  
Extrinsic Parameters ◽  
Intrinsic And Extrinsic Parameters

Self-Calibration of a Binocular Stereo Rig with Varying Intrinsic and Extrinsic Parameters

2013 ◽  
Vol 694-697 ◽  
pp. 1896-1901
Author(s):  
Hong Zheng ◽  
Zhen Qiang Liu ◽  
Kai Zhang
Keyword(s):  
Synthetic Data ◽  
Singular Values ◽  
Calibration Method ◽  
Essential Matrix ◽  
Self Calibration ◽  
Extrinsic Parameters ◽  
Binocular Stereo ◽  
Transformation Relation ◽  
Computer Vision Applications ◽  
Intrinsic And Extrinsic Parameters

Self-calibration of stereo rig is essential to many computer vision applications. In this paper, a new self-calibration method is proposed for a binocular stereo rig undergoing a single motion with varying intrinsic and extrinsic parameters. Firstly, we build up a stereo rig model based on the basic platform to describe the transformation of the stereo rig during the motion. Secondly, the characteristics of singular values of the essential matrix are used to estimate the intrinsic parameters of camera. Finally, analyzing the transformation relation between different views, the relative position of cameras and motion of the stereo rig are estimated. Experimental results for both synthetic data and real images are provided to show the performance of the proposed method.

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