• Title/Summary/Keyword: Camera View

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Gaze Detection System using Real-time Active Vision Camera (실시간 능동 비전 카메라를 이용한 시선 위치 추적 시스템)

  • 박강령
    • Journal of KIISE:Software and Applications
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    • v.30 no.12
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    • pp.1228-1238
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    • 2003
  • This paper presents a new and practical method based on computer vision for detecting the monitor position where the user is looking. In general, the user tends to move both his face and eyes in order to gaze at certain monitor position. Previous researches use only one wide view camera, which can capture a whole user's face. In such a case, the image resolution is too low and the fine movements of user's eye cannot be exactly detected. So, we implement the gaze detection system with dual camera systems(a wide and a narrow view camera). In order to locate the user's eye position accurately, the narrow view camera has the functionalities of auto focusing and auto panning/tilting based on the detected 3D facial feature positions from the wide view camera. In addition, we use dual R-LED illuminators in order to detect facial features and especially eye features. As experimental results, we can implement the real-time gaze detection system and the gaze position accuracy between the computed positions and the real ones is about 3.44 cm of RMS error.

Multi-Depth Map Fusion Technique from Depth Camera and Multi-View Images (깊이정보 카메라 및 다시점 영상으로부터의 다중깊이맵 융합기법)

  • 엄기문;안충현;이수인;김강연;이관행
    • Journal of Broadcast Engineering
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    • v.9 no.3
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    • pp.185-195
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    • 2004
  • This paper presents a multi-depth map fusion method for the 3D scene reconstruction. It fuses depth maps obtained from the stereo matching technique and the depth camera. Traditional stereo matching techniques that estimate disparities between two images often produce inaccurate depth map because of occlusion and homogeneous area. Depth map obtained from the depth camera is globally accurate but noisy and provide a limited depth range. In order to get better depth estimates than these two conventional techniques, we propose a depth map fusion method that fuses the multi-depth maps from stereo matching and the depth camera. We first obtain two depth maps generated from the stereo matching of 3-view images. Moreover, a depth map is obtained from the depth camera for the center-view image. After preprocessing each depth map, we select a depth value for each pixel among them. Simulation results showed a few improvements in some background legions by proposed fusion technique.

Vision based 3D Hand Interface Using Virtual Two-View Method (가상 양시점화 방법을 이용한 비전기반 3차원 손 인터페이스)

  • Bae, Dong-Hee;Kim, Jin-Mo
    • Journal of Korea Game Society
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    • v.13 no.5
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    • pp.43-54
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    • 2013
  • With the consistent development of the 3D application technique, visuals are available at more realistic quality and are utilized in many applications like game. In particular, interacting with 3D objects in virtual environments, 3D graphics have led to a substantial development in the augmented reality. This study proposes a 3D user interface to control objects in 3D space through virtual two-view method using only one camera. To do so, homography matrix including transformation information between arbitrary two positions of camera is calculated and 3D coordinates are reconstructed by employing the 2D hand coordinates derived from the single camera, homography matrix and projection matrix of camera. This method will result in more accurate and quick 3D information. This approach may be advantageous with respect to the reduced amount of calculation needed for using one camera rather than two and may be effective at the same time for real-time processes while it is economically efficient.

A New System Implementation for Generating Holographic Video using Natural Color Scene (실사 컬러 영상을 이용한 홀로그램 비디오 생성 시스템 구현)

  • Seo, Youngho;Lee, Yoon-Hyuk;Koo, Ja-Myung;Kim, Woo-Youl;Kim, Bo-Ra;Kim, Dong-Wook
    • Journal of Broadcast Engineering
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    • v.18 no.2
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    • pp.149-158
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    • 2013
  • In this paper, we propose a new system which can generate digital holograms for natural color scene. The system consists of both a camera system for capturing images and softwares(SWs) for various image processings. The camera system uses a vertical rig with a depth and a RGB camera and a cold mirror which has the different transmittance according to wavelength for obtaining images with the same view point. The S/W is composed by the engines for processing and servicing the captured images and computer-generated hologram (CGH) for generating digital holograms using general-purpose computing on graphics processing unit (GPGPU). Each algorithm was implemented using C/C++ and CUDA languages, and all engines were integrated in LabView environment. The proposed system can generate 10 digital holographic frames per second using about 6K light sources.

Transparent Manipulators Accomplished with RGB-D Sensor, AR Marker, and Color Correction Algorithm (RGB-D 센서, AR 마커, 색수정 알고리즘을 활용한 매니퓰레이터 투명화)

  • Kim, Dong Yeop;Kim, Young Jee;Son, Hyunsik;Hwang, Jung-Hoon
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.293-300
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    • 2020
  • The purpose of our sensor system is to transparentize the large hydraulic manipulators of a six-ton dual arm excavator from the operator camera view. Almost 40% of the camera view is blocked by the manipulators. In other words, the operator loses 40% of visual information which might be useful for many manipulator control scenarios such as clearing debris on a disaster site. The proposed method is based on a 3D reconstruction technology. By overlaying the camera image from front top of the cabin with the point cloud data from RGB-D (red, green, blue and depth) cameras placed at the outer side of each manipulator, the manipulator-free camera image can be obtained. Two additional algorithms are proposed to further enhance the productivity of dual arm excavators. First, a color correction algorithm is proposed to cope with the different color distribution of the RGB and RGB-D sensors used on the system. Also, the edge overlay algorithm is proposed. Although the manipulators often limit the operator's view, the visual feedback of the manipulator's configurations or states may be useful to the operator. Thus, the overlay algorithm is proposed to show the edge of the manipulators on the camera image. The experimental results show that the proposed transparentization algorithm helps the operator get information about the environment and objects around the excavator.

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

  • Kim, Young-Seok;Shong, Kil-Mok;Bang, Sun-Bae;Kim, Chong-Min;Choi, Myeong-Il
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.9
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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.

A Camera Calibration Method using Several Images for Three Dimensional Measurement (여러 장의 영상을 사용하는 3차원 계측용 카메라 교정방법)

  • Kang, Dong-Joong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.3
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    • pp.224-229
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    • 2007
  • This paper presents a camera calibration method using several images for three dimensional measurement applications such as stereo systems, mobile robots, and visual inspection systems in factories. Conventional calibration methods that use single image suffer from errors related to reference point extraction in image, lens distortion, and numerical analysis of nonlinear optimization. The camera parameter values obtained from images of same camera is not same even though we use same calibration method. The camera parameters that are obtained from several images of different view for a calibration target is usaully not same with large error values and we can not assume a special probabilistic distribution when we estimate the parameter values. In this paper, the median value of camera parameters from several images is used to improve estimation of the camera values in an iterative step with nonlinear optimization. The proposed method is proved by experiments using real images.

Obstacle Avoidance Method for UAVs using Polar Grid

  • Pant, Sudarshan;Lee, Sangdon
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.1088-1098
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    • 2020
  • This paper proposes an obstacle avoidance method using a depth polar grid. Depth information is a crucial factor for determining the safe path for collision-free navigation of unmanned aerial vehicles (UAVs) as it can perceive the distance to the obstacles effectively. However, the existing depth-camera-based approaches for obstacle avoidance require computational y expensive path planning algorithms. We propose a simple navigation method using the polar-grid of the depth information obtained from the camera with narrow field-of-view(FOV). The effectiveness of the approach was validated by a series of experiments using software-in-the-loop simulation in a realistic outdoor environment. The experimental results show that the proposed approach successfully avoids obstacles using a single depth camera with limited FOV.

Entity Matching for Vision-Based Tracking of Construction Workers Using Epipolar Geometry (영상 내 건설인력 위치 추적을 위한 등극선 기하학 기반의 개체 매칭 기법)

  • Lee, Yong-Joo;Kim, Do-Wan;Park, Man-Woo
    • Journal of KIBIM
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    • v.5 no.2
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    • pp.46-54
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    • 2015
  • Vision-based tracking has been proposed as a means to efficiently track a large number of construction resources operating in a congested site. In order to obtain 3D coordinates of an object, it is necessary to employ stereo-vision theories. Detecting and tracking of multiple objects require an entity matching process that finds corresponding pairs of detected entities across the two camera views. This paper proposes an efficient way of entity matching for tracking of construction workers. The proposed method basically uses epipolar geometry which represents the relationship between the two fixed cameras. Each pixel coordinate in a camera view is projected onto the other camera view as an epipolar line. The proposed method finds the matching pair of a worker entity by comparing the proximity of the all detected entities in the other view to the epipolar line. Experimental results demonstrate its suitability for automated entity matching for 3D vision-based tracking of construction workers.

View Synthesis Using OpenGL for Multi-viewpoint 3D TV (다시점 3차원 방송을 위한 OpenGL을 이용하는 중간영상 생성)

  • Lee, Hyun-Jung;Hur, Nam-Ho;Seo, Yong-Duek
    • Journal of Broadcast Engineering
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    • v.11 no.4 s.33
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    • pp.507-520
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    • 2006
  • In this paper, we propose an application of OpenGL functions for novel view synthesis from multi-view images and depth maps. While image based rendering has been meant to generate synthetic images by processing the camera view with a graphic engine, little has been known about how to apply the given images and depth information to the graphic engine and render the scene. This paper presents an efficient way of constructing a 3D space with camera parameters, reconstructing the 3D scene with color and depth images, and synthesizing virtual views in real-time as well as their depth images.