• Title/Summary/Keyword: Fisheye Camera

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Estimation of Rotation of Camera Direction and Distance Between Two Camera Positions by Using Fisheye Lens System

  • Aregawi, Tewodros A.;Kwon, Oh-Yeol;Park, Soon-Yong;Chien, Sung-Il
    • Journal of Sensor Science and Technology
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    • v.22 no.6
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    • pp.393-399
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    • 2013
  • We propose a method of sensing the rotation and distance of a camera by using a fisheye lens system as a vision sensor. We estimate the rotation angle of a camera with a modified correlation method by clipping similar regions to avoid symmetry problems and suppressing highlight areas. In order to eliminate the rectification process of the distorted points of a fisheye lens image, we introduce an offline process using the normalized focal length, which does not require the image sensor size. We also formulate an equation for calculating the distance of a camera movement by matching the feature points of the test image with those of the reference image.

Toward Face Recognition by Using a Fisheye Camera (어안 카메라를 사용한 얼굴인식의 분석)

  • Suhr, Jae-Kyu;Noh, Dong-Hyun;Kim, Jai-Hie
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.963-964
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    • 2008
  • Recently, omni-directional cameras are broadly used due to their wide field of view. Fisheye camera is one of them. This paper proposes the system which uses a fisheye camera for face recognition and analyzes its advantages. Since face images taken with a fisheye camera are affected by perspective distortion and radial distortion, we suggest a two-step method for removing those distortions from the face images.

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도로 위 숫자 및 기호 인식을 위한 광각렌즈 기반 Camera Calibration 연구

  • Gang, Jin-Gyu;Hong, Hyeong-Gil;Hoang, Toan Minh;Vokhidov, Husan;Park, Gang-Ryeong;Jo, Hyeong-O
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1406-1407
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    • 2015
  • 본 논문에서는 도로 위 숫자 및 기호인식에 적합한 Calibration Model에 대하여 연구하였다. 기존에 제시된 Geometric Transform, Fisheye Projection, Caltech Toolbox 기반 방법으로 얻은 Calibration Model의 성능을 비교하였다. Geometric Transform은 Fisheye Distortion Correction에 부적합한 결과를 얻었고, Fisheye Projection은 성능은 좋으나 시스템에 사용할 Camera Lens의 Specification을 모르기 때문에 이를 예측해야 하는 단점이 있다. 마지막으로 Caltech Tool box 기반 방법은 Calibration을 위한 Keypoint를 수동으로 지정하다 보니까 이로 인한 오차가 존재하게 된다. Calibration을 시도 할 때마다 결과에 차이가 있었으며, Calibration 결과의 측면에서 Fisheye Projection이 가시적으로 가장 좋은 결과를 나타냈다.

Conversion of Fisheye Image to Perspective Image Using Nonlinear Scaling Function (비선형 스케일링 함수를 이용한 어안 영상의 원근 변환)

  • Kim, Tae-Woo;Cho, Tae-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.1
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    • pp.117-121
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    • 2009
  • The fisheye image acquired with a fisheye camera has wider field of view than a general use camera. But large distortion of the object in the image requires conversion of the fisheye image to the perspective image because of user's difficult perception. The existing Ishii's method[1] has the problem that the object can has sire and geometrical distortion in the transformed image because it uses equidistance projection. This paper presented a conversion technique of the fisheye image to the perspective image using sealing function. In the experiments, it was shown that our method reduced size and geometrical distortion by applying the scaling function.

Comparison the Mapping Accuracy of Construction Sites Using UAVs with Low-Cost Cameras

  • Jeong, Hohyun;Ahn, Hoyong;Shin, Dongyoon;Choi, Chuluong
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.1-13
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    • 2019
  • The advent of a fourth industrial revolution, built on advances in digital technology, has coincided with studies using various unmanned aerial vehicles (UAVs) being performed worldwide. However, the accuracy of different sensors and their suitability for particular research studies are factors that need to be carefully evaluated. In this study, we evaluated UAV photogrammetry using smart technology. To assess the performance of digital photogrammetry, the accuracy of common procedures for generating orthomosaic images and digital surface models (DSMs) using terrestrial laser scanning (TLS) techniques was measured. Two different type of non-surveying camera(Smartphone camera, fisheye camera) were attached to UAV platform. For fisheye camera, lens distortion was corrected by considering characteristics of lens. Accuracy of orthoimage and DSM generated were comparatively analyzed using aerial and TLS data. Accuracy comparison analysis proceeded as follows. First, we used Ortho mosaic image to compare the check point with a certain area. In addition, vertical errors of camera DSM were compared and analyzed based on TLS. In this study, we propose and evaluate the feasibility of UAV photogrammetry which can acquire 3 - D spatial information at low cost in a construction site.

A Study on Detecting Moving Objects using Multiple Fisheye Cameras (다중 어안 카메라를 이용한 움직이는 물체 검출 연구)

  • Bae, Kwang-Hyuk;Suhr, Jae-Kyu;Park, Kang-Ryoung;Kim, Jai-Hie
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.4
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    • pp.32-40
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    • 2008
  • Since vision-based surveillance system uses a conventional camera which has a narrow field of view, it is difficult to apply it into the environment whose the ceiling is low and the monitoring area is wide. To overcome this problem, the method of increasing the number of camera causes the increase of the cost and the difficulties of camera set-up For these problems, we propose a new surveillance system based on multiple fisheye cameras which have 180 degree field of view. The proposed method handles occlusions using the homography relation between the multiple fisheye cameras. In the experiment, four fisheye cameras were set up within the area of $17{\times}14m$ at height of 2.5 m and five people wandered and crossed with one another within this area. The detection rates of the proposed system was 83.0% while that of a single camera was 46.1%.

Correction of Fisheye Distortion and Perspective Distortion (어안렌즈왜곡 및 원근왜곡의 보정)

  • Song, Gwang-Yul;Yoon, Pal-Joo;Lee, Joon-Woong
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.10
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    • pp.22-29
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    • 2006
  • This paper considers the lens distortions such as a fisheye distortion and a perspective distortion. While a fisheye lens has a wide field-of-view, it causes a large distortion to the images. Regardless of a fisheye lens or a rectilinear lens, a lens generates perspective distortion in a vertical direction when the lens views in an upward direction or downward direction. These distortions deform images differently from human visual functions. Therefore, this paper presents a method to correct the distortions, and whereby, the research in this paper enlarges choices of images to image processing algorithm that may select the distorted images and the corrected images depending on applications. An infinite polynomial model is employed in the fisheye radial distortion correction, and the vertical perspective distortion correction is done by using a vanishing point. The methods introduced in this paper are implemented on the images captured by a rear-view camera installed on a vehicle and showed their robustness of the correction.

Parking Lot Occupancy Detection using Deep Learning and Fisheye Camera for AIoT System

  • To Xuan Dung;Seongwon Cho
    • Smart Media Journal
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    • v.13 no.1
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    • pp.24-35
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    • 2024
  • The combination of Artificial Intelligence and the Internet of Things (AIoT) has gained significant popularity. Deep neural networks (DNNs) have demonstrated remarkable success in various applications. However, deploying complex AI models on embedded boards can pose challenges due to computational limitations and model complexity. This paper presents an AIoT-based system for smart parking lots using edge devices. Our approach involves developing a detection model and a decision tree for occupancy status classification. Specifically, we utilize YOLOv5 for car license plate (LP) detection by verifying the position of the license plate within the parking space.

Location Identification Using an Fisheye Lens and Landmarks Placed on Ceiling in a Cleaning Robot (어안렌즈와 천장의 위치인식 마크를 활용한 청소로봇의 자기 위치 인식 기술)

  • Kang, Tae-Gu;Lee, Jae-Hyun;Jung, Kwang-Oh;Cho, Deok-Yeon;Yim, Choog-Hyuk;Kim, Dong-Hwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.10
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    • pp.1021-1028
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    • 2009
  • In this paper, a location identification for a cleaning robot using a camera shooting forward a room ceiling which kas three point landmarks is introduced. These three points are made from a laser source which is placed on an auto charger. A fisheye lens covering almost 150 degrees is utilized and the image is transformed to a camera image grabber. The widly shot image has an inevitable distortion even if wide range is coverd. This distortion is flatten using an image warping scheme. Several vision processing techniques such as an intersection extraction erosion, and curve fitting are employed. Next, three point marks are identified and their correspondence is investigated. Through this image processing and image distortion adjustment, a robot location in a wide geometrical coverage is identified.