• 제목/요약/키워드: Multi-Angle Camera

검색결과 56건 처리시간 0.032초

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.

ADAS용 다중화각 카메라를 이용한 객체 인식 향상 (Improved Object Recognition using Multi-view Camera for ADAS)

  • 박동훈;김학일
    • 방송공학회논문지
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    • 제24권4호
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    • pp.573-579
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    • 2019
  • 완전한 자율 주행에 이르기 위해서는 주변 환경을 인지하는 인지 능력이 사람보다 뛰어나야 한다. 자율 주행에서 주로 사용되는 $60^{\circ}$ 협각, $120^{\circ}$ 광각 카메라는 시야각에 따른 각각의 단점이 존재한다. 본 논문의 목적은 광각, 협각 카메라가 가진 각각의 단점을 극복하기 위하여, 다중화각 차량 전방 카메라 시스템을 이용하여 더 넓은 영역의 전방을 대상으로 더 정확히 객체를 인식할 수 있는 심층신경망 알고리즘을 개발하는 것이다. 광각, 협각 카메라로 취득된 데이터의 종횡비를 분석해 SSD(Single Shot Detector) 알고리즘을 수정하였고, 취득된 데이터를 학습하여 단안 카메라만을 사용할 때 보다 높은 성능을 달성하였다.

다중 추적자 영상을 위한 컴프턴 카메라 (Multi-tracer Imaging of a Compton Camera)

  • 김수미
    • 한국의학물리학회지:의학물리
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    • 제26권1호
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    • pp.18-27
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    • 2015
  • 컴프턴 산란 현상을 이용하여 전자적 집속 방법으로 영상화하는 컴프턴카메라는 고민감도 및 고에너지 해상도의 장점을 이용하여 핵의학 응용분야에 대한 잠재력이 큰 영상 시스템이다. 본 논문에서는 컴프턴카메라를 이용한 다중 추적자 영상의 효용성 평가와 정확한 3차원 단면영상 촬영을 위한 Orlov 조건을 만족하는 회전하는 컴프턴카메라의 구조를 조사하였다. 140/511 keV의 방사선원의 소프트웨어 모형을 구성하고 이에 대한 몬테카를로 전산모사 시뮬레이션을 수행하여 리스트모드 배열된 부분집합 기댓값 최대화 방법으로 재구성된 다중 추적자 영상으로 컴프턴카메라의 효용성을 검증하였다. 산란부와 흡수부를 평행하게 위치시킨 고정된 컴프턴카메라와 촬영대상 주위 $360^{\circ}$를 회전하는 컴프턴카메라를 구성하여 검출된 투사선의 구좌표계 각도에 대한 히스토그램을 비교 평가하였다. 140/511 keV의 동시 계측된 몬테카를로 전산모사 데이터의 다중 추적자 영상이 2차원 및 3차원 재구성 시 잘 구분되는 것을 확인하였으며, 회전된 컴프턴카메라의 경우, 회전각도에 반비례하여 3차원 영상재구성에 필요한 유효 투사선이 증가하였다. 26분의 계산 시간 및 5백만개의 적절한 유효 투사선의 개수를 고려할 때 컴프턴카메라의 회전각은 $30^{\circ}$가 현실적으로 적절할 것이며 증가한 검출 시간은 다중 컴프턴카메라를 구성하여 해결할 수 있다. 본 논문에서 고찰한 고민감도 및 고에너지 해상도를 가진 컴프턴 카메라는 다중추적자 영상화를 위해 적합한 시스템이며 생화학 및 생리학적 상태 변화에 대한 임상 정보를 제공하며 각종 질병 진단 및 치료 방법 개발 등에 기여할 수 있는 잠재력이 있는 영상 시스템이다.

카메라 앵글 조정 방식을 통한 다시점 UCV(User Created Video) 서비스 분석과 평가 (Analysis and Evaluation of Multi-view UCV(User Created Video) Service through Adjusting Camera Angle)

  • 성보경;고일주
    • 한국콘텐츠학회논문지
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    • 제14권2호
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    • pp.39-47
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    • 2014
  • 개인용 스마트 디바이스의 빠른 발전과 역동적 보급은 개인 사용자들을 영상시청 중심의 소비자에서 영상의 촬영에서 공유로 확장된 프로슈머로 변화 시키고 있다. 이러한 변화 속에서 방송영상에 비견되는 소비가 발생되고 지속적으로 생산 및 공유되는 사용자 제작 영상(User Created Video,UCV)이 다양한 콘텐츠 서비스가 가능한 플랫폼으로 주목을 받고 있다. 특히 경험의 공유 목적으로 제작되는 UCV는 복수의 사용자들이 한정된 시간, 공간의 동일한 이벤트로부터 촬영된 것으로, 방송영상과 유사하게 동일한 이벤트를 다양한 앵글의 카메라로 촬영된다. 본 논문에서는 UCV의 다시점적 특성을 제시하고, 이러한 특징을 기반하여 동일한 이벤트에서 촬영된 UCV를 앵글 전환하며 시청할 수 있는 다시점 UCV 서비스를 제안하였다. 또한 사용자 만족도 설문을 통해 중복영역이 포함된 UCV의 시청방식으로 다시점 UCV 서비스를 기존의 선형적 시청방식보다 더 선호함을 알 수 있었다.

The phase angle dependences of Reflectance on Asteroid (25143) Itokawa from the Hayabusa Spacecraft Multi-band Imaging Camera(AMICA)

  • Lee, Mingyeong;Ishiguro, Masateru
    • 천문학회보
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    • 제40권1호
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    • pp.61.3-62
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    • 2015
  • Remote-sensing observation is one of the observation methods that provide valuable information, such as composition and surface physical conditions of solar system objects. The Hayabusa spacecraft succeeded in the first sample returning from a near-Earth asteroid, (25143) Itokawa. It has established a ground truth technique to connect between ordinary chondrite meteorites and S-type asteroids. One of the scientific observation instruments that Hayabusa carried, Asteroid Multi-band Imaging Camera(AMICA) has seven optical-near infrared filters (ul, b, v, w, x, p, and zs), taking more than 1400 images of Itokawa during the rendezvous phase. The reflectance of planetary body can provide valuable information of the surface properties, such as the optical aspect of asteroid surface at near zero phase angle (i.e. Sun-asteroid-observer's angle is nearly zero), light scattering on the surface, and surface roughness. However, only little information of the phase angle dependences of the reflectance of the asteroid is known so far. In this study, we investigated the phase angle dependences of Itokawa's surface to understand the surface properties in the solar phase angle of $0^{\circ}-40^{\circ}$ using AMICA images. About 700 images at the Hayabusa rendezvous phase were used for this study. In addition, we compared our result with those of several photometry models, Minnaert model, Lommel-Seeliger model, and Hapke model. At this conference, we focus on the AMICA's v-band data to compare with previous ground-based observation researches.

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다층퍼셉트론의 정합 근사화에 의한 2차원 영상의 카메라 오차보정 (A 2-D Image Camera Calibration using a Mapping Approximation of Multi-Layer Perceptrons)

  • 이문규;이정화
    • 제어로봇시스템학회논문지
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    • 제4권4호
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    • pp.487-493
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    • 1998
  • Camera calibration is the process of determining the coordinate relationship between a camera image and its real world space. Accurate calibration of a camera is necessary for the applications that involve quantitative measurement of camera images. However, if the camera plane is parallel or near parallel to the calibration board on which 2 dimensional objects are defined(this is called "ill-conditioned"), existing solution procedures are not well applied. In this paper, we propose a neural network-based approach to camera calibration for 2D images formed by a mono-camera or a pair of cameras. Multi-layer perceptrons are developed to transform the coordinates of each image point to the world coordinates. The validity of the approach is tested with data points which cover the whole 2D space concerned. Experimental results for both mono-camera and stereo-camera cases indicate that the proposed approach is comparable to Tsai's method[8]. Especially for the stereo camera case, the approach works better than the Tsai's method as the angle between the camera optical axis and the Z-axis increases. Therefore, we believe the approach could be an alternative solution procedure for the ill -conditioned camera calibration.libration.

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Development Process on the Control Software for Camera and Grating Articulation System Prototype (CGAS-P) of the Giant Magellan Telescope Multi-Object Astronomical and cosmological Spectrograph (GMACS)

  • Ji, Tae-Geun;Cook, Erika;Kelly, Evan;DePoy, Darren L.;Marshall, Jennifer;Lee, Hye-In;Pak, Soojong
    • 천문학회보
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    • 제44권2호
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    • pp.46.3-46.3
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    • 2019
  • We present the control software and its development process for a prototype of the Camera and Grating Articulation System (CGAS) for GMACS, a wide-field, multi-object, moderate-resolution optical spectrograph for the Giant Magellan Telescope (GMT). The CGAS prototype is currently designed for the camera articulation controller as a miniature model of the GMACS. The camera articulation package (CAP) is a software that controls two stepper motors to adjust the camera angle. The package is developed using Visual C++ and runs on Windows 10. We discuss the architectural design and communication route between the high-end user software and the electronics hardware.

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Three-Dimensional Measurement of Moving Surface Using Circular Dynamic Stereo

  • Lee, Man-Hyung;Hong, Suh-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.101.3-101
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    • 2001
  • By setting a refractor with a certain angle against the optical axis of the CCD camera lens, the image of a measuring point recorded on the image plane is displaced by the corresponding amounts related to the distance between the camera and the measuring point. When the refractor that keeps the angle against the optical axis is rotated physically at high speed during the exposure of the camera, the image of a measuring point draws an annular streak. Since the size of the annular streak is inversely proportional to the distance between the camera and the measuring point, the 3D position of the measuring point can be obtained by processing the streak. In this paper, for one of the applications of our system, the measurement of a moving surface is introduced. In order to measure the moving surface, multi laser spots are projected on the surface of object. Each position of ...

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어안 영상을 이용한 물체 추적 기반의 한 멀티로봇의 대형 제어 (Multi-robot Formation based on Object Tracking Method using Fisheye Images)

  • 최윤원;김종욱;최정원;이석규
    • 제어로봇시스템학회논문지
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    • 제19권6호
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    • pp.547-554
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    • 2013
  • This paper proposes a novel formation algorithm of identical robots based on object tracking method using omni-directional images obtained through fisheye lenses which are mounted on the robots. Conventional formation methods of multi-robots often use stereo vision system or vision system with reflector instead of general purpose camera which has small angle of view to enlarge view angle of camera. In addition, to make up the lack of image information on the environment, robots share the information on their positions through communication. The proposed system estimates the region of robots using SURF in fisheye images that have $360^{\circ}$ of image information without merging images. The whole system controls formation of robots based on moving directions and velocities of robots which can be obtained by applying Lucas-Kanade Optical Flow Estimation for the estimated region of robots. We confirmed the reliability of the proposed formation control strategy for multi-robots through both simulation and experiment.

퍼지 논리를 이용한 추종 Mobile Vehicle의 지능적 Control 구현 (Intelligent Control for the Tracing Mobile Vehicle Using Fuzzy Logic)

  • 최우경;서재용;김성현;전홍태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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    • pp.119-122
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    • 2002
  • The paper proposed the intelligent inference method which keeps MV(Mobile vehicle) a little way off from men and makes it follow them using fuzzy controller Recognizing positions of MV and Men and distance between them was used to infer movement angle and speed of the MV with multi-ultrasonic sensor and USB camera The very important thing Is that the MV needs to obtain surrounding Information from the sensor and the camera, then It needs to represent those circumstances MV was controlled by inference from the speed and angle which are obtained from sensor and camera. Traveling simulation with a real MV was performed repeatedly to verify the usefulness of the fuzzy logic algorithm which was proposed in this paper. And a successful result of the experiment demonstrated the excellence of the fuzzy logic controller.

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