• Title/Summary/Keyword: Single camera

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Video Deblurring using Camera Motion Estimation and Patch-wise Deconvolution (카메라 움직임 추정 및 패치 기반 디컨볼루션을 이용한 동영상의 번짐 현상 제거 방법)

  • Jeong, Woojin;Park, Jin Wook;Lee, Jong Min;Song, Tae Eun;Choi, Wonju;Moon, Young Shik
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.130-139
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    • 2014
  • Undesired camera shaking can make a blur effect, which causes a degradation of video quality. We propose an efficient method of removing the blur effects on video captured from a single camera. The proposed method has a sequential process that is applied to each frame. The first stage is to estimate the camera motion for each frame. In order to estimate the camera motion, we compute the optical flow using 3 consecutive frames. Then a patch-wise image deconvolution is applied. During the deconvolution, edge prediction is used to improve the quality of image deconvolution. After patch-wise image deconvolution, deblurred patches are integrated into an image to produce a deblurred frame. The above process is performed for each frame. The experimental result shows that the proposed method removes the blur effect efficiently.

A Study on the Image-Based 3D Modeling Using Calibrated Stereo Camera (스테레오 보정 카메라를 이용한 영상 기반 3차원 모델링에 관한 연구)

  • 김효성;남기곤;주재흠;이철헌;설성욱
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.3
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    • pp.27-33
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    • 2003
  • The image-based 3D modeling is the technique of generating a 3D graphic model from images acquired using cameras. It is being researched as an alternative technique for the expensive 3D scanner. In this paper, we propose the image-based, 3D modeling system using calibrated stereo cameras. The proposed algorithm for rendering, 3D model consists of three steps, camera calibration, 3D reconstruction, and 3D registration step. In the camera calibration step, we estimate the camera matrix for the image aquisition camera. In the 3D reconstruction step, we calculate 3D coordinates using triangulation from corresponding points of the stereo image. In the 3D registration step, we estimate the transformation matrix that transforms individually reconstructed 3D coordinates to the reference coordinate to render the single 3D model. As shown the result, we generated relatively accurate 3D model.

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A Capturing Algorithm of Moving Object using Single Curvature Trajectory (단일곡률궤적을 이용한 이동물체의 포획 알고리즘)

  • Choi Byoung-Suk;Lee Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.2
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    • pp.145-153
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    • 2006
  • An optimal capturing trajectory for a moving object is proposed in this paper based on the observation that a single-curvature path is more accurate than double-or triple-curvature paths. Moving distance, moving time, and trajectory error are major factors considered in deciding an optimal path for capturing the moving object. That is, the moving time and distance are minimized while the trajectory error is maintained as small as possible. The three major factors are compared for the single and the double curvature trajectories to show superiority of the single curvature trajectory. Based upon the single curvature trajectory, a kinematics model of a mobile robot is proposed to follow and capture the moving object, in this paper. A capturing scenario can be summarized as follows: 1. Motion of the moving object has been captured by a CCD camera., 2. Position of the moving object has been estimated using the image frames, and 3. The mobile robot tries to follow the moving object along the single curvature trajectory which matches positions and orientations of the moving object and the mobile robot at the final moment. Effectiveness of the single curvature trajectory modeling and capturing algorithm has been proved, through simulations and real experiments using a 2-DOF wheel-based mobile robot.

Variation of the Discharge Characteristics in single-sustainer Driving of an AC PDP

  • Kim, Joong-Kyun;Jung, Hae-Yoon
    • Journal of Information Display
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    • v.11 no.4
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    • pp.154-159
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    • 2010
  • Single-sustainer driving is an AC PDP driving scheme to reduce the circuitry by maintaining the sustain electrode at ground level. To date, however, the research on the discharge characteristics in such driving scheme is insufficient. In this study, the panel performance and discharge characteristics of the single-sustainer driving scheme were observed while varying the address electrode condition. In single-sustainer driving, the address electrode is strongly involved in the sustain discharge when the former is maintained at ground level, and the dependence of the luminous efficacy on the sustain voltage is different from that in the conventional driving scheme. The dependence of the luminous efficacy on the sustain voltage appeared similar, however, to that in the conventional driving scheme when the address electrode was floated in single-sustainer driving. In the investigation of the temporal evolution of the sustain discharge using an IICCD camera, it was found that the sustain discharge in single-sustainer driving with a floating address electrode is similar to that in the conventional driving scheme, and the strong plasma formation region was located in the vicinity of the MgO surface, which seems to be related to the lifetime of a PDP with single-sustainer driving. In the investigation of the operation characteristics, the PDP that was operated with a floated address electrode showed a narrower dynamic operation margin, but a longer lifetime was expected.

Color Pattern Recognition with Recombined Single Input Channel Joint Transform Correlator

  • Jeong, Man-Ho
    • Journal of the Optical Society of Korea
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    • v.15 no.2
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    • pp.140-145
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    • 2011
  • Joint transform correlator (JTC) is a well known tool for color pattern recognition for a color image. Color images have red, green and blue components, thus in conventional JTC, three input channels of these color components are necessary for color pattern recognition. This paper proposes a new technique of color pattern recognition by decomposing the color image into three color components and recombining those components into a single gray image in the input plane. This new technique needs single input channel and single output CCD camera, thus a simple JTC can be used. We present various kinds of simulated results to show that our newly proposed technique can accurately recognize and discriminate color differences.

Fusion algorithm for Integrated Face and Gait Identification (얼굴과 발걸음을 결합한 인식)

  • Nizami, Imran Fareed;Hong, Sug-Jun;Lee, Hee-Sung;Ann, Toh-Kar;Kim, Eun-Tai;Park, Mig-Non
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.15-18
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    • 2007
  • Identification of humans from multiple view points is an important task for surveillance and security purposes. For optimal performance the system should use the maximum information available from sensors. Multimodal biometric systems are capable of utilizing more than one physiological or behavioral characteristic for enrollment, verification, or identification. Since gait alone is not yet established as a very distinctive feature, this paper presents an approach to fuse face and gait for identification. In this paper we will use the single camera case i.e. both the face and gait recognition is done using the same set of images captured by a single camera. The aim of this paper is to improve the performance of the system by utilizing the maximum amount of information available in the images. Fusion is considered at decision level. The proposed algorithm is tested on the NLPR database.

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Object and Pose Recognition with Boundary Extraction from 3 Dimensional Depth Information (3 차원 거리 정보로부터 물체 윤곽추출에 의한 물체 및 자세 인식)

  • Gim, Seong-Chan;Yang, Chang-Ju;Lee, Jun-Ho;Kim, Jong-Man;Kim, Hyoung-Suk
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.6
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    • pp.15-23
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    • 2011
  • Stereo vision approach to solve the problem using a single camera three dimension precise distance measurement and object recognition method is proposed. Precise three dimensional information of objects can be obtained using single camera, a laser light and a rotating flat mirror. With a simple thresholding operation on the depth information, the segmentations of objects can be obtained. Comparing the signatures of object boundaries with database, objects can be recognized. Improving the simulation results for the object recognition by precise distance measurement are presented.

Control and Monitoring of Wavelengths in Spectral Beam Combining System Based on High Resolution Camera (고해상도 카메라 기반 파장 빔 결합 시스템의 다중 광원의 모니터링과 파장 제어 기법 연구)

  • Seung, Ji Hoon;Lee, Kwang Hyun;Lee, Jung Hwan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.6
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    • pp.321-327
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    • 2019
  • Spectral Beam Combining (SBC) is used for a high-power fiber laser in order to overcome the power limitation of single fiber laser. In SBC, several laser bwams with different wavelengths are combined to obtain a single-aperture beam by diffraction grating. The combining efficiency is dependent on a linewidth, beam quality and specific wavelength of each beam among others. In this paper, we consider the method of a wavelength monitoring and a feedback control of laser diodes used as seeds of laser beams to obtain optimum combining conditions. In order to measure the wavelengths of multi-beam, we use the high resolution camera and diffraction grating with 1,800l/mm. The experiment results show the possibility of feedback control of a current and temperature of multi-seed laser diodes to obtain optimum wavelengths for SBC.