• Title/Summary/Keyword: Single Camera

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New single lens stereoscopic camera system for UHD 3D applications (UHD 3D응용을 위한 새로운 single lens stereoscopic camera system 제안)

  • Park, Sangil;Yoo, Sunggeun;Lee, Younghwa;Lee, Taehwan
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.124-127
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    • 2013
  • 2009년 출시된 영화 "AVATAR"가 stereoscopic방식 3D영화로 대단한 성공을 거둔 이후로 가전시장과 필름 시장에는 많은 3D 영상들이 stereoscopic방식으로 제작되어 유통되게 되었다. 하지만 기존에 제시되어온 two lens stereoscopic camera system은 두 대의 카메라를 사용하기 때문에 광학적 정렬과 기하학적 조절이 매우 어렵기 때문에 stereoscopic 영상을 촬영하고 보급 하는데 많은 문제점을 가지고 있었다. 따라서 하나의 광축을 가진 single lens stereoscopic camera system들이 기존에 제시되어 왔으나 여전히 single lens stereoscopic system에도 문제점이 존재한다. 이에 본 논문에서는 기존에 제시된 stereoscopic camera system을 two lens / single lens로 나누어 조사 분석하고, 분석한 문제점을 해결하기 위한 새로운 single lens stereoscopic camera system을 제안할 것이다.

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Single Pixel Compressive Camera for Fast Video Acquisition using Spatial Cluster Regularization

  • Peng, Yang;Liu, Yu;Lu, Kuiyan;Zhang, Maojun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5481-5495
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    • 2018
  • Single pixel imaging technology has developed for years, however the video acquisition on the single pixel camera is not a well-studied problem in computer vision. This work proposes a new scheme for single pixel camera to acquire video data and a new regularization for robust signal recovery algorithm. The method establishes a single pixel video compressive sensing scheme to reconstruct the video clips in spatial domain by recovering the difference of the consecutive frames. Different from traditional data acquisition method works in transform domain, the proposed scheme reconstructs the video frames directly in spatial domain. At the same time, a new regularization called spatial cluster is introduced to improve the performance of signal reconstruction. The regularization derives from the observation that the nonzero coefficients often tend to be clustered in the difference of the consecutive video frames. We implement an experiment platform to illustrate the effectiveness of the proposed algorithm. Numerous experiments show the well performance of video acquisition and frame reconstruction on single pixel camera.

Measurement of Distance and Velocity of Moving Objects using Single Camera Pseudo-Stereo Images

  • Lee, Jae-Soo;Kim, Soo-In;Choi, In-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.21 no.9
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    • pp.32-38
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    • 2007
  • In this study, a new algorithm for measuring the velocity and distance from a camera to a moving object by using pseudo-stereo images obtained from a single camera with a stereo adapter is proposed. The proposed system is similar to a parallel visual stereo system using a two-camera system, but because this system can obtain pseudo-stereo images form a single camera, it has advantages not only in the aspect of cost but also in stereo conformity by arrangement and the calibration of the left and right stereo cameras upon image processing.

Depth Measurement using an Omnidirectional Stereo Vision System with a Single Camera (단일카메라 전방향 스테레오 비전 시스템을 이용한 거리측정)

  • Yi, Soo-Yeong;Kim, Soon-Chul
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.11
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    • pp.955-959
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    • 2013
  • It is possible to obtain an omnidirectional stereo image via a single camera by using a catadioptric approach with a convex mirror and concave lens. In order to measure three-dimensional distance using the imaging system, the optical parameters of the system are required. In this paper, a calibration procedure to extract the parameters of the imaging system is described. Based on the parameters, experiments are carried out to verify the performance of the three-dimensional distance measurement of a single camera omnidirectional stereo imaging system.

3D Depth Estimation by a Single Camera (단일 카메라를 이용한 3D 깊이 추정 방법)

  • Kim, Seunggi;Ko, Young Min;Bae, Chulkyun;Kim, Dae Jin
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.281-291
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    • 2019
  • Depth from defocus estimates the 3D depth by using a phenomenon in which the object in the focal plane of the camera forms a clear image but the object away from the focal plane produces a blurred image. In this paper, algorithms are studied to estimate 3D depth by analyzing the degree of blur of the image taken with a single camera. The optimized object range was obtained by 3D depth estimation derived from depth from defocus using one image of a single camera or two images of different focus of a single camera. For depth estimation using one image, the best performance was achieved using a focal length of 250 mm for both smartphone and DSLR cameras. The depth estimation using two images showed the best 3D depth estimation range when the focal length was set to 150 mm and 250 mm for smartphone camera images and 200 mm and 300 mm for DSLR camera images.

Localization of 3D Spatial Information from Single Omni-Directional Image (단일 전방향 영상을 이용한 공간 정보의 측정)

  • Kang Hyun-Deok;Jo Kang-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.7
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    • pp.686-692
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    • 2006
  • This paper shows the calculation of 3D geometric information such as height, direction and distance under the constraints of a catadioptric camera system. The catadioptric camera system satisfies the single viewpoint constraints adopting hyperboloidal mirror. To calculate the 3D information with a single omni-directional image, the points are assumed to lie in perpendicular to the ground. The infinite plane is also detected as a circle from the structure of the mirror and camera. The analytic experiments verify the correctness of theory using real images taken in indoor environments like rooms or corridors. Thus, the experimental results show the applicability to calculate the 3D geometric information using single omni-directional images.

Development of Single-Frame PIV Velocity Field Measurement Technique Using a High Resolution CCD Camera (고해상도 CCD카메라를 이용한 Single-Frame PIV 속도장 측정기법 개발)

  • Lee, Sang-Joon;Shin, Dae-Sig
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.24 no.1
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    • pp.21-28
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    • 2000
  • Although commercial PIV systems have been widely used for the non-intrusive velocity field measurement of fluid flows, they are still under development and have considerable room for improvement. In this study, a single-frame double-exposure PIV system using a high-resolution CCD camera was developed. A pulsed Nd:Yag laser and high-resolution CCD camera were synchronized by a home-made control circuit. In order to resolve the directional ambiguity problem encountered in the single-frame PIV technique, the second particle image was genuinely shifted in the CCD sensor array during the time interval dt. The velocity vector field was determined by calculating the displacement vector at each interrogation window using cross-correlation with 50% overlapping. In order to check the effect of spatial resolution of CCD camera on the accuracy of PIV velocity field measurement, the developed PIV system with three different resolution modes of the CCD camera (512 ${\times}$ 512, lK ${\times}$ IK, 2K ${\times}$ 2K) was applied to a turbulent flow which simulate the Zn plating process of a steel strip. The experimental model consists of a snout and a moving belt. Aluminum flakes about $1{\mu}m$ diameter were used as scattering particles for the liquid flow in the zinc pot and the gas flow above the zinc surface was seeded with atomized olive oil with an average diameter of 1-$3{\mu}m$. Velocity field measurements were carried out at the strip speed $V_s$=1.0 m/s. The 2K ${\times}$ 2K high-resolution PIV technique was significantly superior compared to the smaller pixel resolution PIV system. For the cases of 512 ${\times}$ 512 and 1K ${\times}$ 1K pixel resolution PIV system, it was difficult to get accurate flow structure of viscous flow near the wall and small vortex structure in the region of large velocity gradient.

Ensemble of Convolution Neural Networks for Driver Smartphone Usage Detection Using Multiple Cameras

  • Zhang, Ziyi;Kang, Bo-Yeong
    • Journal of information and communication convergence engineering
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    • v.18 no.2
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    • pp.75-81
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    • 2020
  • Approximately 1.3 million people die from traffic accidents each year, and smartphone usage while driving is one of the main causes of such accidents. Therefore, detection of smartphone usage by drivers has become an important part of distracted driving detection. Previous studies have used single camera-based methods to collect the driver images. However, smartphone usage detection by employing a single camera can be unsuccessful if the driver occludes the phone. In this paper, we present a driver smartphone usage detection system that uses multiple cameras to collect driver images from different perspectives, and then processes these images with ensemble convolutional neural networks. The ensemble method comprises three individual convolutional neural networks with a simple voting system. Each network provides a distinct image perspective and the voting mechanism selects the final classification. Experimental results verified that the proposed method avoided the limitations observed in single camera-based methods, and achieved 98.96% accuracy on our dataset.

A Novel Image Sensing System for 3D Reconstruction (3차원 형상복원을 위한 새로운 시각장치)

  • 이두현;권인소
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.383-389
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    • 2000
  • This paper presents a stereo camera system that provides a Pair of stereo images using a Biprism. The equivalent of a stereo Pair of images is formed as the left and right halves of a single CCD image. The system is therefore cheap and extremely easy to calibrate since it requires only one CCD camera. An additional advantage of the geometrical set-up is that corresponding features lie on the same scanline automatically, The single camera and Biprism have led to a simple stereo system for which correspondence is very easy and which is accurate for nearby objects in a small field of view. Since we use only a single lens, calibration of the system is greatly simplified. Given the parameters in the Biprism-stereo camera system, we can reconstruct the 3-D structure using only the disparity between the corresponding points.

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Calibration Comparison of Single Camera and Stereo Camera (단일 카메라 캘리브레이션과 스테레오 카메라의 캘리브레이션의 비교)

  • Kim, Eui Myoung;Hong, Song Pyo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.4
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    • pp.295-303
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    • 2018
  • The stereo camera system has a fixed baseline and therefore has a constant scale. However, it is difficult to measure the actual three-dimensional coordinate since the scale is not fixed when relative orientation parameters are determined through the key-point matching in the stereo image each time. Therefore, the purpose of this study was to perform the stereo camera calibration that simultaneously determines the internal characteristics of the left and right cameras and the camera relationship between them using the modified collinearity equation and compared it with the two independent single cameras calibration. In the experiment using the images taken at close range, the RMSE (Root Mean Square Error) of ${\pm}0.014m$ was occurred when the three dimensional distances were compared in the single calibration results. On the other hand, the accuracy of the three-dimensional distance of the stereo camera calibration was better because the stereo camera results were almost no error compared to the results from two single cameras. In the comparison of the epipolar images, the RMSE of the stereo camera was 0.3 pixel more than that of the two single cameras, but the effect was not significant.