• Title/Summary/Keyword: single camera

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Picosecond Absorption Kinetic Spectrometer with a Laser and a Streak Camera

  • Jang, Du-Jeon
    • Proceedings of the Optical Society of Korea Conference
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    • 1990.02a
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    • pp.172-176
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    • 1990
  • A high resolution picosecond absorption kinetic spectrometer utilizing dye emission and a streak camera is presented and compared with other methods of picosecond transient absorption measurements. Typical transient absorption and bleach recovery kinetics measured with this spectrometer are shown. Single wavelength transient absorption or ground state bleach recovery kinetics are determined on the basis of a single laser shot, so that the samples are relatively free frm decomposition by irradiation. Excellent kinetics may be obtained from the near UV to the near IR and are not subject to interference from luminescence of samples. The sensitivity of this spectrometer is very high and it is reasonably easy and convenient to set up and use.

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Indoor Single Camera SLAM using Fiducial Markers (한 대의 카메라와 Fiducial 마커를 이용한 SLAM)

  • Lim, Hyon;Yang, Ji-Hyuck;Lee, Young-Sam;Kim, Jin-Geol
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.353-364
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    • 2009
  • In this paper, a SLAM (Simultaneous Localization and Mapping) method using a single camera and planar fiducial markers is proposed. Fiducial markers are planar patterns that are mounted on the ceiling or wall. Each fiducial marker has a unique hi-tonal identification pattern with square outlines. It can be printed on paper to reduce cost or it can be painted using retro-reflective paint in order to make invisible and prevent undesirable visual effects. Existing localization methods using artificial landmarks have the disadvantage that landmark locations must be known a priori. In contrast, the proposed method can build a map and estimate robot location even if landmark locations are not known a priori. Hence, it reduces installation time and setup cost. The proposed method works good even when only one fiducial marker is seen at a scene. We perform computer simulation to evaluate proposed method.

Mobile Robot Navigation Using Vision Information (시각 정보를 이용한 이동 로보트의 항법)

  • Cho, Dong-Kwon;Kwon, Ho-Yeol;Suh, Il-Hong;Bien, Zeung-Nam
    • Proceedings of the KIEE Conference
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    • 1989.07a
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    • pp.689-692
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    • 1989
  • In this paper, the navigation problem for a mobile robot is investigated. Specifically, it is proposed that simple guide-marks be introduced and the navigation scheme be generated in conjunction with the guide-marks sensed through camera vision. For autonomous navigation, it was shown that a triple guide-mark system is more effective than a single guide-mark in estimating the position of rho vehicle itself. the navigation system is tested via a mobile robot 'Hero' equipped with a single camera vision.

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Measurement of 3D Flow inside Micro-tube Using Digital Holographic PTV Technique (디지털 Holographic PTV기법을 이용한 미세튜브 내부 3차원 유동장 측정)

  • Kim, Seok;Kim, Ju-Hee;Lee, Sang-Joon
    • 유체기계공업학회:학술대회논문집
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    • 2006.08a
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    • pp.177-178
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    • 2006
  • Digital holographic particle tracking velocimetry (HPTV) is developed by single high-speed camera and single continuous laser with long coherent length. This system can directly capture 4000 hologram fringe images for 1 second through a camera computer memory. The 3D particle location is made of the reconstruction by using a computer hologram algorithm. This system can successfully be applied to instantaneous 3D velocity measurement in the water flow inside a micro-tube. The average of 100 instantaneous velocity vectors is obtained by reconstruction and tracking with the time of evolution of recorded fringes images. In the near future, we will apply this technique to measure 3D flow information inside various micro structures.

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Pose-invariant Face Recognition using Cylindrical Model and Stereo Camera (원통 모델과 스테레오 카메라를 이용한 포즈 변화에 강인한 얼굴인식)

  • ;;David Han
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2012-2015
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    • 2003
  • This paper proposes a pose-invariant face recognition method using cylindrical model and stereo camera. We divided this paper into two parts. One is single input image case, the other is stereo input image case. In single input image case, we normalized a face's yaw pose using cylindrical model, and in stereo input image case, we normalized a face's pitch pose using cylindrical model with estimated object's pitch pose by stereo geometry. Also, since we have advantage that we can utilize two images acquired at the same time, we can increase overall recognition rate by decision-level fusion. By experiment, we confirmed that recognition rate could be increased using our methods.

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A Study on the measurement of 3-D Object with Single Grating Shiftings (단일격자 이송을 이용한 영사식 3차원 물체 형상 측정에 관한 연구)

  • 박윤창;정경민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1999.05a
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    • pp.187-192
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    • 1999
  • Noncontact measuring methodology of 3-dimensional profile using CCD camera are very attractive because of it's high measuring speed and its's high sensitivity. Especially when projecting a grid pattern over the object, the captured image have 3 dimensional information of the object. Projection moire extract 3-D information with another grid pattern in front of CCD camera. However phase measuring profilometry(PMP) obtain similar results without additional grid pattern. In this paper, the projection moire are compared with the PMP mathematically, and it is shown that PMP can generate moire image with simple mathematical computations. Experimental works are also carried out showing the same results. It is shown that using a single gird pattern, moire image can be obtained directly without any mathematical operation when some conditions are satisfied.

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Defects Length Measurement using an Estimation Algorithm of the Camera Orientation and an Inclination Angle of a Laser Slit Beam

  • Kim, Young-Hwan;Yoon, Ji-Sup;Kang, E-Sok
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1452-1457
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    • 2004
  • In this paper, a method of measuring the length of defects on the wall and restructuring the defect image is proposed based on the estimation algorithm of a camera orientation which uses the declination angle of a laser slit beam. The estimation algorithm of the horizontally inclined angle of CCD camera adopts a 3-dimensional coordinate transformation of the image plane where both the laser beam and the original image of the defects exist. The estimation equation is obtained by using the information of the beam projected on the wall and the parameters of this equation are experimentally obtained. With this algorithm, the original image of the defect can be reconstructed to an image normal to the wall. From the result of a series of experiments, the measuring accuracy of the defect is measured within 0.5% error bound of real defect size under 30 degree of the horizontally inclined angle. The proposed algorithm provides the method of reconstructing the image taken at any arbitrary horizontally inclined angle to the image normal to the wall and thus, it enables the accurate measurement of the defect lengths only by using a single camera and a laser slit beam.

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NON-UNIFORMITY CORRECTION- SYSTEM ANALYSIS FOR MULTI-SPECTRAL CAMERA

  • Park Jong-Euk;Kong Jong-Pil;Heo Haeng-Pal;Kim Young Sun;Chang Young Jun
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.478-481
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    • 2005
  • The PMU (Payload Management Unit) is the main subsystem for the management, control and power supply of the MSC (Multi-Spectral Camera) Payload operation. It is the most important function for the electro-optical camera system that performs the Non-Uniformity Correction (NUC) function of the raw imagery data, rearranges the data from the CCD (Charge Coupled Device) detector and output it to the Data Compression and Storage Unit (DCSU). The NUC board in PMU performs it. In this paper, the NUC board system is described in terms of the configuration and the function, the efficiency for non-uniformity correction, and the influence of the data compression upon the peculiar feature of the CCD pixel. The NUC board is an image-processing unit within the PMU that receives video data from the CEV (Camera Electronic Unit) boards via a hotlinkand performs non-uniformity corrections upon the pixels according to commands received from the SBC (Single Board Computer) in the PMU. The lossy compression in DCSU needs the NUC in on-orbit condition.

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MIPI CSI-2 & D-PHY Camera Controller Design for Future Mobile Platform (차세대 모바일 단말 플랫폼을 위한 MIPI CSI-2 & D-PHY 카메라 컨트롤러 구현)

  • Hyun, Eu-Gin;Kwon, Soon;Jung, Woo-Young
    • The KIPS Transactions:PartA
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    • v.14A no.7
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    • pp.391-398
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    • 2007
  • In this paper, we design a future mobile camera standard interface based on the MIPI CSI-2 and D-PHY specification. The proposed CSI-2 have the efficient multi-lane management layer, which the independent buffer on the each lane are merged into single buffer. This scheme can flexibly manage data on multi lanes though the number of supported lanes are mismatched in a camera processor transmitter and a host processor. The proposed CSI-2 & D-PHY are verified under test bench. We make an experiment on CSI-2 & D-PHY with FPGA type test-bed and implement them onto a mobile handset. The proposed CSI-2 & D-PHY module are used as both the bridge type and the future camera processor IP for SoC.

Sector Based Scanning and Adaptive Active Tracking of Multiple Objects

  • Cho, Shung-Han;Nam, Yun-Young;Hong, Sang-Jin;Cho, We-Duke
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.6
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    • pp.1166-1191
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    • 2011
  • This paper presents an adaptive active tracking system with sector based scanning for a single PTZ camera. Dividing sectors on an image reduces the search space to shorten selection time so that the system can cover many targets. Upon the selection of a target, the system estimates the target trajectory to predict the zooming location with a finite amount of time for camera movement. Advanced estimation techniques using probabilistic reason suffer from the unknown object dynamics and the inaccurate estimation compromises the zooming level to prevent tracking failure. The proposed system uses the simple piecewise estimation with a few frames to cope with fast moving objects and/or slow camera movements. The target is tracked in multiple steps and the zooming time for each step is determined by maximizing the zooming level within the expected variation of object velocity and detection. The number of zooming steps is adaptively determined according to target speed. In addition, the iterative estimation of a zooming location with camera movement time compensates for the target prediction error due to the difference between speeds of a target and a camera. The effectiveness of the proposed method is validated by simulations and real time experiments.