• Title/Summary/Keyword: stereo system

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A Study of the Use of step by preprocessing and Graph Cut for the exact depth map (깊이맵 향상을 위한 전처리 과정과 그래프 컷에 관한 연구)

  • Kim, Young-Seop;Song, Eung-Yeol
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.3
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    • pp.99-103
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    • 2011
  • The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using blue edge filter and graph cut algorithm. We do recommend the use of the simple sobel edge operator. The application of B band sobel edge operator over image demonstrates result with somewhat noisy (distinct border). The basic technique is to construct a specialized graph for the energy function to be minimized such that the minimum cut on the graph also minimizes the energy (either globally or locally). This method has the advantage of saving a lot of data. We propose a preprocessing effective stereo matching method based on sobel algorithm which uses blue edge information and the graph cut, we could obtain effective depth map.

Stereo Matching Using the Adaptive Patch Based on the Watershed (워터쉐드 기반의 적응 패치를 이용한 스테레오 정합 알고리즘에 관한 연구)

  • Woo-Sung Kil;Jong-Whang Jang
    • The Journal of Engineering Research
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    • v.6 no.2
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    • pp.99-107
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    • 2004
  • In stereo matching system, it is efficient using segment patch, which divides the image into homogeneous region in color or similar intensity, because it preserves the disparity boundary and disparity continuity in low textured region. But many miss matching occur in the highly textured region because of the over segmentation that makes patch small and ambiguous. In this paper, in order to solve problems, we propose adaptive patch matching based on the watershed image segmentation. Performance was verified in experimental results.

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A Study of the Use of Step by Preprocessing and Dynamic Programming for the Exact Depth Map (정확한 깊이 맵을 위한 전처리 과정과 다이나믹 프로그래밍에 관한 연구)

  • Kim, Young-Seop;Song, Eung-Yeol
    • Journal of the Semiconductor & Display Technology
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    • v.9 no.3
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    • pp.65-69
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    • 2010
  • The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using nagao filter, octree color quantization and dynamic programming algorithm. we describe methods for performing color quantization on full color RGB images, using an octree data structure. This method has the advantage of saving a lot of data. We propose a preprocessing stereo matching method based on Nagao-filter algorithm using color information. using the nagao filter, we could obtain effective depth map and using the octree color quantization, we could reduce the time of computation.

A study of using the magnifying lens to detect the detail 3D data (정밀한 3차원 데이터를 얻기 위한 확대경 사용에 관한 연구)

  • Cha, Kuk-Chan
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.41-47
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    • 2006
  • The range-based method is easy to get the 3D data in detail, but the image-based is not. In this paper. employing the magnifying lens. the new approach to get the 3D data in detail is suggested. The magnifying lens amplifies the disparity in stereo vision system and the amplification of disparity is to increase the resolution of the depth. We mathematically and experimentally verifies the fact to amplify the disparity and suggests the method to improve the original 3D data with the detail 3D data.

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Development of Stereo Sound Authoring Tool to Modify and Edit 2Channel Stereo Sound Source Using HRTF (HRTF를 이용한 2채널 스테레오 음원을 수정 및 편집 할 수 있는 입체음향 저작도구 개발)

  • Kim, Young-Sik;Kim, Yong-Il;Bae, Myeong-Soo;Jeon, Su-Min;Lee, Dae-Ho
    • Annual Conference of KIPS
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    • 2017.11a
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    • pp.909-912
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    • 2017
  • In implementing a computerized virtual training system, the auditory element is responsible for the human cognitive ability following visual elements. Especially, the improvement of hearing ability is closely related to the performance of the training, and it contributes to improvement of the training effect. In this paper, we propose a sound system that is necessary for constructing such a virtual training system as a test system that can use a sound source using a head related transfer function (HRTF). Functional and auditory tests were performed to evaluate system performance.

A study on the transformation of EO parameters using Boresight calibration (Boresight calibration을 이용한 외부표정요소 산출에 관한 연구)

  • 박수영;윤여상;김준철;정주권;주영은
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.129-134
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    • 2003
  • Mobile Mapping System needs system calibration of multi sensors. System calibration is defined as determination of spatial and rotational offsets between the sensors. Especially, EO parameters of GPS/INS require knowledge of the calibration to camera frame. The calibration parameters must be determined with the highest achievable accuracy in order to get 3D coordinate points in stereo CCD images. This study applies Boresight calibration for the calibration between GPS/INS and camera, and estimates the Performance of the calibration.

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Development of parallax-barrier autostereoscopic display (Parallax-barrier방식 입체영상 디스플레이 개발)

  • 이용범;이남호;안상호
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1880-1883
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    • 1997
  • An Parallax-Barrier type autostereoscopic display system is implemented to overcome the handicap of current glass-typed stereo imaging system which gives operators unnatural feeling and reluctance. This system is composed of image mixing part of two input images, A/D transformation part, scan conversion part to eliminate the rainbow interference phenomenon, and pin-hole type barrier lens. For the fine display the accurate slit width of barrier is calculated in consideration of retina size, and the samsung 10.4" TFT-LCO was used as flat display monitor.itor.

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Implementation of the SLAM System Using a Single Vision and Distance Sensors (단일 영상과 거리센서를 이용한 SLAM시스템 구현)

  • Yoo, Sung-Goo;Chong, Kil-To
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.149-156
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    • 2008
  • SLAM(Simultaneous Localization and Mapping) system is to find a global position and build a map with sensing data when an unmanned-robot navigates an unknown environment. Two kinds of system were developed. One is used distance measurement sensors such as an ultra sonic and a laser sensor. The other is used stereo vision system. The distance measurement SLAM with sensors has low computing time and low cost, but precision of system can be somewhat worse by measurement error or non-linearity of the sensor In contrast, stereo vision system can accurately measure the 3D space area, but it needs high-end system for complex calculation and it is an expensive tool. In this paper, we implement the SLAM system using a single camera image and a PSD sensors. It detects obstacles from the front PSD sensor and then perceive size and feature of the obstacles by image processing. The probability SLAM was implemented using the data of sensor and image and we verify the performance of the system by real experiment.