• 제목/요약/키워드: multi camera

검색결과 879건 처리시간 0.027초

다각촬영카메라의 3차원 위치정확도 분석 (The Analysis of 3D Position Accuracy of Multi-Looking Camera)

  • 고종식;최윤수;장세진;이기욱
    • Spatial Information Research
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    • 제19권3호
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    • pp.33-42
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    • 2011
  • 항공사진을 이용한 3차원공간정보구축 방법이 대두됨에 따라, 효율적인 작업 방법과 활용 방안에 대한 논의가 지속되어져 오고 있다. Pictometry를 활용한 3차원공간정보구축에는 경사사진과 수직사진이 동시에 획득되어지므로 기존 사진측량이론과 상이한 다각촬영(Multi-Looking)카메라의 작업방법에 따라 3차원 위치결정을 수행한다. 이때 지상기준점의 관측수량 및 배치는 최종성과물인 정밀정사영상(True Orthoimage)의 절대정확도에 영향을 미치게 된다. 따라서 본 연구에서는 지상기준점 수량 및 배치에 따른 정밀정사영상의 정확도 평가를 수행하고 허용오차범위를 만족시키는 지상기준점 선점 기준을 확인하였으며 다각촬영카메라의 3차원위치결정 작업방법에서 효율적인 지상기준점 관측 방안을 제시하였다.

다중센서 융합 상이 지도를 통한 다중센서 기반 3차원 복원 결과 개선 (Refinements of Multi-sensor based 3D Reconstruction using a Multi-sensor Fusion Disparity Map)

  • 김시종;안광호;성창훈;정명진
    • 로봇학회논문지
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    • 제4권4호
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    • pp.298-304
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    • 2009
  • This paper describes an algorithm that improves 3D reconstruction result using a multi-sensor fusion disparity map. We can project LRF (Laser Range Finder) 3D points onto image pixel coordinatesusing extrinsic calibration matrixes of a camera-LRF (${\Phi}$, ${\Delta}$) and a camera calibration matrix (K). The LRF disparity map can be generated by interpolating projected LRF points. In the stereo reconstruction, we can compensate invalid points caused by repeated pattern and textureless region using the LRF disparity map. The result disparity map of compensation process is the multi-sensor fusion disparity map. We can refine the multi-sensor 3D reconstruction based on stereo vision and LRF using the multi-sensor fusion disparity map. The refinement algorithm of multi-sensor based 3D reconstruction is specified in four subsections dealing with virtual LRF stereo image generation, LRF disparity map generation, multi-sensor fusion disparity map generation, and 3D reconstruction process. It has been tested by synchronized stereo image pair and LRF 3D scan data.

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멀티 카메라 연동을 위한 군집화 기반의 객체 특징 정합 (Clustering based object feature matching for multi-camera system)

  • 김현수;김경환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.915-916
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    • 2008
  • We propose a clustering based object feature matching for identification of same object in multi-camera system. The method is focused on ease to system initialization and extension. Clustering is used to estimate parameters of Gaussian mixture models of objects. A similarity measure between models are determined by Kullback-Leibler divergence. This method can be applied to occlusion problem in tracking.

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고전압 방전 검출용 자외선 코로나 카메라 개발 및 방전 이미지 분석 (Analysis of Image and Development of UV Corona Camera for High-Voltage Discharge Detection)

  • 김영석;송길목;방선배;김종민;최명일
    • 조명전기설비학회논문지
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    • 제25권9호
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    • pp.69-74
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    • 2011
  • In this paper, the UV corona camera was developed using the solar blind and Multi Channel Plate(MCP) technology for the target localization of UV image. UV camera developed a $6.4[^{\circ}]{\times}4.8[^{\circ}]$ of the field of view as a conventional camera to diagnose a wide range of slightly enlarged, and power equipment to measure the distance between the camera and the distance meter has been attached. UV camera to measure the discharge count and the UV image was developed, compared with a commercial camera, there was no significant difference. In salt spray environments breakdown voltage was lower than the normal state, thereby discharging the image was rapidly growing phenomenon.

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

  • Park Jong-Euk;Kong Jong-Pil;Heo Haeng-Pal;Kim Young Sun;Chang Young Jun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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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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차세대 모바일 단말 플랫폼을 위한 MIPI CSI-2 & D-PHY 카메라 컨트롤러 구현 (MIPI CSI-2 & D-PHY Camera Controller Design for Future Mobile Platform)

  • 현유진;권순;정우영
    • 정보처리학회논문지A
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    • 제14A권7호
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    • pp.391-398
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    • 2007
  • 본 논문에서는 차세대 모바일 단말 카메라 표준 인터페이스인 MIPI CSI-2 및 D-PHY를 설계하였다. 제안된 CSI-2는 레인별로 존재하는 버퍼를 하나로 통합하여 송수신단이 지원하는 레인의 개수가 다른 경우에도 유연하게 관리 될 수 있는 멀티레인관리계층을 가진다. 설계된 CSI-2 및 D-PHY는 테스트 벤치를 통해 RTL 검증되었다. 또한 FPGA로 합성된 후 테스트 베드를 통해 기능 검증이 이루어 졌으며, 실제 단말기에 적용하여 동작 여부를 확인 하였다. 설계된 CSI-2 및 D-PHY 모듈은 브리지 형태로 제공되어 기존의 카메라 센서와 호스트 프로세서와 오프 칩 형태로 사용할 수 있을 뿐 아니라, 차세대 모바일 카메라 컨트롤러와 온 칩 화 가능한 IP 형태로도 사용 가능하다.

카메라 폰 렌즈 조립을 위한 비전 검사 방법들에 대한 연구 (Vision Inspection for Flexible Lens Assembly of Camera Phone)

  • 이인수;김진오;강희석;조영준;이규봉
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.631-632
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    • 2006
  • The assembly of camera lens modules fur the mobile phone has not been automated so far. They are still assembled manually because of high precision of all parts and hard-to-recognize lens by vision camera. In addition, the very short life cycle of the camera phone lens requires flexible and intelligent automation. This study proposes a fast and accurate identification system of the parts by distributing the camera for 4 degree of freedom assembly robot system. Single or multi-cameras can be installed according to the part's image capture and processing mode. It has an agile structure which enables adaptation with the minimal job change. The framework is proposed and the experimental result is shown to prove the effectiveness.

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Algorithms for Multi-sensor and Multi-primitive Photogrammetric Triangulation

  • Shin, Sung-Woong;Habib, Ayman F.;Ghanma, Mwafag;Kim, Chang-Jae;Kim, Eui-Myoung
    • ETRI Journal
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    • 제29권4호
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    • pp.411-420
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    • 2007
  • The steady evolution of mapping technology is leading to an increasing availability of multi-sensory geo-spatial datasets, such as data acquired by single-head frame cameras, multi-head frame cameras, line cameras, and light detection and ranging systems, at a reasonable cost. The complementary nature of the data collected by these systems makes their integration to obtain a complete description of the object space. However, such integration is only possible after accurate co-registration of the collected data to a common reference frame. The registration can be carried out reliably through a triangulation procedure which considers the characteristics of the involved data. This paper introduces algorithms for a multi-primitive and multi-sensory triangulation environment, which is geared towards taking advantage of the complementary characteristics of spatial data available from the above mentioned sensors. The triangulation procedure ensures the alignment of involved data to a common reference frame. The devised methodologies are tested and proven efficient through experiments using real multi-sensory data.

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자유시점 TV를 위한 다시점 비디오의 계층적 깊이 영상 표현과 H.264 부호화 (Layered Depth Image Representation And H.264 Encoding of Multi-view video For Free viewpoint TV)

  • 신종홍
    • 디지털산업정보학회논문지
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    • 제7권2호
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    • pp.91-100
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    • 2011
  • Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

카메라를 이용한 진동 측정 시 주요인자 분석 (Parameter Studies for Measuring Vibration by Using Camera)

  • 전형섭;최영철;박진호;박종원
    • 한국소음진동공학회논문집
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    • 제20권11호
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    • pp.1033-1037
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    • 2010
  • Accelerometer and laser vibrometers are widely used to measure vibration of structures like a building or piping. Recently, the research measuring vibration by using camera image is introduced. This method can measure multi-points simultaneously. Also, it is possible to measure in the long distance. When we measure the vibration using a camera, the parameter analysis is needed. Therefore, this paper took the experiment for the camera lens selection. An error by the camera images characteristic was theoretically analyzed and we verified through an experiment. And the accuracy of the method measuring the vibration displacement by using the camera images was analyzed.