• Title/Summary/Keyword: camera distortion

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Adjustment of texture image for construction of a 3D virtual city (3D 가상도시 구축을 위한 건물 텍스쳐 이미지의 왜곡보정)

  • Kim, Sung-Su;Kim, Byung-Guk
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.2 s.20
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    • pp.49-56
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    • 2002
  • Many users of 3D virtual city are Utilize a texture image for the cognition of real object. In this study, building's facet images were achieved by a digital camera and adjusted its distortion by use of the 2D projective transformation method. After then, Images are mapped to a 3D building model by means of the OpenGL. Application program is able to offer an automation solution to construction process of the 3D virtual city.

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Null lens design for testing of elliptical surface (타원면경 측정 Null 렌즈 설계)

  • 김연수
    • Korean Journal of Optics and Photonics
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    • v.11 no.4
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    • pp.246-249
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    • 2000
  • The null lens is designed for testing the elliptical (conic constant>O) mirror which is the third mirror of the off-axis Three Mirror Anastigmat (TMA) designed as a high resolution camera for remote sensing. The mixed type design is proposed as a new design type which has a small annular flat mirror, but has as twice sensitivity as the autostigmatic type design. It is also shown that the null lens of the Mixed type is better than that of the autostigmatic type in terms of the sensitivity of the wavefront distortion which is given as the magnitude of optical path difference with respect to the change of each surface parameters such as the radius of curvature, thickness of lenses and tested mirror.

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Development of Localization Sensor System for Intelligent Robots (지능로봇용 위치인식 시스템 개발)

  • You, Ki-Sung;Choi, Chin-Tae
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.2
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    • pp.116-124
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    • 2011
  • A service robot can identify its own position relative to landmarks, the locations of which are known in advance. The main contribution of this research is that it gives various ways of making the self-localizing error smaller by referring to special landmarks which are developed as high gain reflection material and coded array associations. In this paper, the authors propose a set of indices to evaluate the accuracy of self-localizing methods using the selective reflection landmark and infrared projector, and the indices are derived from the sensitivity enhancement using 3D distortion calibration of camera. And then, the accurarcy of self-localizing a mobile robot with landmarks based on the indices is evaluated, and a rational way to minimize to reduce the computational cost of selecting the best self-localizing method. The simulation results show a high accuracy and a good performance.

An Implementation of the Vision System for Monitor Inspection (모니터 화면 검사를 위한 시각 시스템의 구현)

  • 양희수;김재형;박상호;윤일동;이상욱
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.2
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    • pp.65-76
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    • 1996
  • This paper describes the issue relating to the design and implementation of a high-precision vision system for monitor inspection. We present several monitor inspection algorithms which evaluate the geometric distrotions of the patterns on the inspection target monitor. Also, to inspect color distortion acquired form color CCD camera into the XYy coordinate, accurately. The proposed monitor inspection system is implemented on IBM PC/486, and the user interface is developed on microsoft windows to assist unskilled users for easy use. Using the developed vision system, Experiments on the inspection accuracy and speed were performed and the results are presented.

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Position Compensation of a Mobile Robot Using Neural Networks (신경로망을 이용한 이동 로봇의 위치 보상)

  • 이기성;조현철
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.5
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    • pp.39-44
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    • 1998
  • Determining the absolute location of a mobile robot is essential in the navigation of a mobile robot. In this paper, a method to determine the position of a mobile robot through the visual image of a landrnark using neural networks is proposed. In determining the position of a mobile robot on the world coordinate, there is a position error because of uncertainty in pixels, incorrect camera calibration and lens distortion. To reduce the errors, a method using a BPNN(Back Propagation Neural Network) is proposed. The experimental results are presented to illustrate the superiority of the proposed method when comparing with the conventional methods.

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Automatic Recognition of In-Process mold Dies Based on Reverse Engineering Technology (형상 역공학을 통한 공정중 금형 가공물의 자동인식)

  • 김정권;윤길상;최진화;김동우;조명우;박균명
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.10a
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    • pp.420-425
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    • 2003
  • Generally, reverse engineering means getting CAD data from unidentified shape using vision or 3D laser scanner system. In this paper, we studied unidentified model by machine vision based reverse engineering system to get information about in-processing model. Recently, vision technology is widely used in current factories, because it could inspect the in-process object easily, quickly, accurately. The following tasks were mainly investigated and implemented. We obtained more precise data by corning camera's distortion, compensating slit-beam error and revising acquired image. Much more, we made similar curves or surface with B-spline approximation for precision. Until now, there have been many case study of shape recognition. But it was uncompatible to apply to the field, because it had taken too many processing time and has frequent recognition failure. This paper propose recognition algorithm that prevent such errors and give applications to the field.

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A Novel Image Dehazing Algorithm Based on Dual-tree Complex Wavelet Transform

  • Huang, Changxin;Li, Wei;Han, Songchen;Liang, Binbin;Cheng, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.5039-5055
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    • 2018
  • The quality of natural outdoor images captured by visible camera sensors is usually degraded by the haze present in the atmosphere. In this paper, a fast image dehazing method based on visible image and near-infrared fusion is proposed. In the proposed method, a visible and a near-infrared (NIR) image of the same scene is fused based on the dual-tree complex wavelet transform (DT-CWT) to generate a dehazed color image. The color of the fusion image is regulated through haze concentration estimated by dark channel prior (DCP). The experiment results demonstrate that the proposed method outperforms the conventional dehazing methods and effectively solves the color distortion problem in the dehazing process.

A New Defect Inspection Method for TFT-LCD Panel using Pattern Comparison (패턴 비교를 통한 TFT-LCD 패널의 결함 검출 방법)

  • Lee, Kyong-Min;Jang, Moon-Soo;Park, Poo-Gyeon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.2
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    • pp.307-313
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    • 2008
  • In this paper, we propose a novel defects inspection algorithm for TFT-LCD panels. We first compensate the distorted image caused by the camera distortion and the uneven illumination environment using the least squares method and the bezier surface. We find a starting point of each pattern for restricting each pattern. A clean image is compared to each pattern to find defects using modified PCSR-G algorithm. The simulation example shows that our algorithm not only inspects the defects well, but also is robust to the 1-pixel error.

A Study on the Turbulent Characteristics of Rushton Turbine Mixer by Simultaneous Measurement of Velocity and Concentration Field with Stereo-PIV/PLIF Technique (Stereo-PIV/PLIF의 속도장과 농도장 동시측정 기법을 이용한 러쉬톤 교반기내 난류특성에 관한 연구)

  • Min, Young-Uk;Kim, Yun-Gi;Kim, Kyung-Chun
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.694-699
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    • 2003
  • Simultaneous measurement with PLIF(Planar Laser-Induced Fluorescence) and Stereo-PIV(Stereoscopic Particle Image Velocimetry) was performed to investigate the structural characteristics of flow field in Rushton Turbine Mixer. Instantaneous 3D velocity fields are measured by two 2K ${\times}$ 2K CCD cameras focused on an object plane with the angular displacement methods while the concentration fields are obtained through the measurement of the fluorescence intensity of Rhodamine B tracer excited by the second pulse of Nd:Yag laser light. Image distortion due to the camera view-angle is compensated by a mapping function. Finally, the spatial structures of turbulent mixing around Rushton turbine were identified by the calculation of cross-correlation fields between the velocity and concentration field.

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SUN INCIDENCE ANGLE ANALYSIS OF KOMPSTAT-2 PAYLOAD DURING NORMAL MISSION OPERATIONS (정상 임무운용 상태에서 다목적실용위성 2호 탑재체에 대한 태양 입사각 분석)

  • 김응현;용기력;이상률
    • Journal of Astronomy and Space Sciences
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    • v.17 no.2
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    • pp.309-316
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    • 2000
  • KOMPSAT-2 will carry MSC(Multi-Spectral Camera) which provides 1m resolution panchromatic and 4m resolution multi-spectral images at the altitude of 685km sun-synchronous mission orbit. The mission operation of KOMSPAT-2 is to provide the earth observation using MSC with nadir pointing. KOMPSAT-2 will also have the capability of roll/pitch tilt maneuver using reaction wheel of satellite as required. In order to protect MSC from thermal distortion as well as direct sunlight, MSC shall be operated within the constraint of sun incidence angle. It is expected that the sunlight will not violate the constraint of sun incidence angle for normal mission operations without roll/pitch maneuver. However, during roll/pitch tilt operations, optical module of MSC may be damaged by the sunlight. This study analyzed sun incidence angle of payload using KOMPSAT-2 AOCS (Attitude and Orbit Control Subsystem) Design and Performance Analysis Soft ware for KOMPSAT-2 normal mission operations.

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