• Title/Summary/Keyword: Depth camera

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A Robust Depth Map Upsampling Against Camera Calibration Errors (카메라 보정 오류에 강건한 깊이맵 업샘플링 기술)

  • Kim, Jae-Kwang;Lee, Jae-Ho;Kim, Chang-Ick
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.6
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    • pp.8-17
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    • 2011
  • Recently, fusion camera systems that consist of depth sensors and color cameras have been widely developed with the advent of a new type of sensor, time-of-flight (TOF) depth sensor. The physical limitation of depth sensors usually generates low resolution images compared to corresponding color images. Therefore, the pre-processing module, such as camera calibration, three dimensional warping, and hole filling, is necessary to generate the high resolution depth map that is placed in the image plane of the color image. However, the result of the pre-processing step is usually inaccurate due to errors from the camera calibration and the depth measurement. Therefore, in this paper, we present a depth map upsampling method robust these errors. First, the confidence of the measured depth value is estimated by the interrelation between the color image and the pre-upsampled depth map. Then, the detailed depth map can be generated by the modified kernel regression method which exclude depth values having low confidence. Our proposed algorithm guarantees the high quality result in the presence of the camera calibration errors. Experimental comparison with other data fusion techniques shows the superiority of our proposed method.

Three-Dimensional Visualization Technique of Occluded Objects Using Integral Imaging with Plenoptic Camera

  • Lee, Min-Chul;Inoue, Kotaro;Tashiro, Masaharu;Cho, Myungjin
    • Journal of information and communication convergence engineering
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    • v.15 no.3
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    • pp.193-198
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    • 2017
  • In this study, we propose a three-dimensional (3D) visualization technique of occluded objects using integral imaging with a plenoptic camera. In previous studies, depth map estimation from elemental images was used to remove occlusion. However, the resolution of these depth maps is low. Thus, the occlusion removal accuracy is not efficient. Therefore, we use a plenoptic camera to obtain a high-resolution depth map. Hence, individual depth map for each elemental image can also be generated. Finally, we can regenerate a more accurate depth map for 3D objects with these separate depth maps, allowing us to remove the occlusion layers more efficiently. We perform optical experiments to prove our proposed technique. Moreover, we use MSE and PSNR as a performance metric to evaluate the quality of the reconstructed image. In conclusion, we enhance the visual quality of the reconstructed image after removing the occlusion layers using the plenoptic camera.

Measurement of object depth information using two CCD camera (두 대의 CCD 카메라를 이용한 물체의 깊이정보 측정)

  • 전정희;노경완;김충원
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.693-696
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    • 1998
  • For camera calibration, this paper describes two steps to camera constants and camera parameters. The former is the radial distortion of lens, image center and focal length etc.. The latter is translation, rotation etc.. Camera calibration use tsai's algorithm. In this paper, the solutions are introduced into overdetermined system as matching points that are acquired from two CCD and measured object depth information.

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Development of Wave Height Field Measurement System Using a Depth Camera (깊이카메라를 이용한 파고장 계측 시스템의 구축)

  • Kim, Hoyong;Jeon, Chanil;Seo, Jeonghwa
    • Journal of the Society of Naval Architects of Korea
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    • v.58 no.6
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    • pp.382-390
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    • 2021
  • The present study suggests the application of a depth camera for wave height field measurement, focusing on the calibration procedure and test setup. Azure Kinect system is used to measure the water surface elevation, with a field of view of 800 mm × 800 mm and repetition rate of 30 Hz. In the optimal optical setup, the spatial resolution of the field of view is 288 × 320 pixels. To detect the water surface by the depth camera, tracer particles that float on the water and reflects infrared is added. The calibration consists of wave height scaling and correction of the barrel distortion. A polynomial regression model of image correction is established using machine learning. The measurement results by the depth camera are compared with capacitance type wave height gauge measurement, to show good agreement.

Depth Generation Method Using Multiple Color and Depth Cameras (다시점 카메라와 깊이 카메라를 이용한 3차원 장면의 깊이 정보 생성 방법)

  • Kang, Yun-Suk;Ho, Yo-Sung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.3
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    • pp.13-18
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    • 2011
  • In this paper, we explain capturing, postprocessing, and depth generation methods using multiple color and depth cameras. Although the time-of-flight (TOF) depth camera measures the scene's depth in real-time, there are noises and lens distortion in the output depth images. The correlation between the multi-view color images and depth images is also low. Therefore, it is essential to correct the depth images and then we use them to generate the depth information of the scene. The results of stereo matching based on the disparity information from the depth cameras showed the better performance than the previous method. Moreover, we obtained the accurate depth information even at the occluded or textureless regions which are the weaknesses of stereo matching.

Synthesis of Multi-View Images Based on a Convergence Camera Model

  • Choi, Hyun-Jun
    • Journal of information and communication convergence engineering
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    • v.9 no.2
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    • pp.197-200
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    • 2011
  • In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.

Single Camera Based Robot Localization (단일카메라기반의 로봇 위치추정)

  • Yi, Chong-Ho;Ahn, Chang-Hwan;Park, Chang-Woo
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1173-1174
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    • 2008
  • In this paper, we propose a front-mounted single camera based depth estimation and robot localization method. The advantage of front-mounted camera is reduction of redundancy when the robot move. The robot computes depth information of captured image, moving around. And the robot location is corrected by depth information.

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Virtual View-point Depth Image Synthesis System for CGH (CGH를 위한 가상시점 깊이영상 합성 시스템)

  • Kim, Taek-Beom;Ko, Min-Soo;Yoo, Ji-Sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1477-1486
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    • 2012
  • In this paper, we propose Multi-view CGH Making System using method of generation of virtual view-point depth image. We acquire reliable depth image using TOF depth camera. We extract parameters of reference-view cameras. Once the position of camera of virtual view-point is defined, select optimal reference-view cameras considering position of it and distance between it and virtual view-point camera. Setting a reference-view camera whose position is reverse of primary reference-view camera as sub reference-view, we generate depth image of virtual view-point. And we compensate occlusion boundaries of virtual view-point depth image using depth image of sub reference-view. In this step, remaining hole boundaries are compensated with minimum values of neighborhood. And then, we generate final depth image of virtual view-point. Finally, using result of depth image from these steps, we generate CGH. The experimental results show that the proposed algorithm performs much better than conventional algorithms.

A New Camera System Implementation for Realistic Media-based Contents (실감미디어 기반의 콘텐츠를 위한 카메라 시스템의 구현)

  • Seo, Young Ho;Lee, Yoon Hyuk;Koo, Ja Myung;Kim, Woo Youl;Kim, Bo Ra;Kim, Moon Seok;Kim, Dong Wook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.99-109
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    • 2013
  • In this paper, we propose a new system which captures real depth and color information from natural scene and implemented it. Based on it, we produced stereo and multiview images for 3-dimensional stereoscopic contents and introduced the production of a digital hologram which is considered to the next-generation image. The system consists of both a camera system for capturing images which correspond to RGB and depth images and softwares (SWs) for various image processings which consist of pre-processing such as rectification and calibration, 3D warping, and computer generated hologram (CGH). The camera system use a vertical rig with two paris of depth and RGB camera and a specially manufactured cold mirror which has the different transmittance according to wavelength for obtaining images with the same view point. The wavelength of our mirror is about 850nm. Each algorithm was implemented using C and C++ and the implemented system can be operated in real-time.

EMBODIMENT OF THE CORRECT DEPTH-CUE IN STEREOSCOPY

  • Lee, Kwang-Hoon;Kim, Dong-Wook;Kwon, Yong-Moo;Hur, Nam-Ho;Kim, Sung-Kyu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.368-372
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    • 2009
  • Pin-hole model has been widely used as a robust tool for easily understanding how to obtain a stereo image and how to present the depth-cue to an observer in stereoscopy. However, most of the processes to analyze depth cue in stereoscopy are performed that a stereo image is taken by camera model practically but depth cue of the image is analyzed by pin-hole model. Therefore, the result of depth cues by the process to be uncorrected. The reason of the uncorrected depth cue is led to the image distances of camera model due to variable focused object distances, and it makes a depth distortion. In this paper, we tried to show the contradiction such as occurring depth distortion in the process which the pin-hole model is used to analyze depth cue despite practical camera model is used in stereoscopy, and we presents the method to overcome the contradiction.

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