• Title/Summary/Keyword: 호모그래피

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Overlap Estimation for Panoramic Image Generation (중첩 영역 추정을 통한 파노라마 영상 생성)

  • Yang, Jihee;Jeon, Jihye;Park, Gooman
    • Journal of Satellite, Information and Communications
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    • v.9 no.4
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    • pp.32-37
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    • 2014
  • The panorama is a good alternative to overcome narrow FOV under study in robot vision, stereo camera and panorama image registration and modeling. The panorama can materialize view with angles wider than human view and provide realistic space which make feeling of being on the scene based on realism. If we use all correspondence, it is too difficult to find strong features and correspondences and assume accurate homography matrix in geographic changes in images as load of calculation increases. Accordingly, we used SURF algorithm to estimate overlapping areas with high similarity by comparing and analyzing the input images' histograms and to detect features. And we solved the problem of input order so we can make panorama by input images without order.

Multiple Camera Based Imaging System with Wide-view and High Resolution and Real-time Image Registration Algorithm (다중 카메라 기반 대영역 고해상도 영상획득 시스템과 실시간 영상 정합 알고리즘)

  • Lee, Seung-Hyun;Kim, Min-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.4
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    • pp.10-16
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    • 2012
  • For high speed visual inspection in semiconductor industries, it is essential to acquire two-dimensional images on regions of interests with a large field of view (FOV) and a high resolution simultaneously. In this paper, an imaging system is newly proposed to achieve high quality image in terms of precision and FOV, which is composed of single lens, a beam splitter, two camera sensors, and stereo image grabbing board. For simultaneously acquired object images from two camera sensors, Zhang's camera calibration method is applied to calibrate each camera first of all. Secondly, to find a mathematical mapping function between two images acquired from different view cameras, the matching matrix from multiview camera geometry is calculated based on their image homography. Through the image homography, two images are finally registered to secure a large inspection FOV. Here the inspection system of using multiple images from multiple cameras need very fast processing unit for real-time image matching. For this purpose, parallel processing hardware and software are utilized, such as Compute Unified Device Architecture (CUDA). As a result, we can obtain a matched image from two separated images in real-time. Finally, the acquired homography is evaluated in term of accuracy through a series of experiments, and the obtained results shows the effectiveness of the proposed system and method.

Byzantine Agreement Protocol with Homomorphic Proactive AVSS for Group Signature Scheme (그룹 서명 기법을 위한 호모모르픽 Proactive AVSS(Asynchronous Verifiable Secret Sharing)의 비잔틴 어그리먼트 프로토콜)

  • 성순화;공은배
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10a
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    • pp.313-315
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    • 2004
  • 인터넷과 같은 항상 변화하고 있는 거대한 네트워크에서는 안전한 전자거래를 위해 않은 키들과 메시지 확장 없이 그룹의 구성원이 다른 구성원이나 그룹에게 전해진 메시지 인증이 보장되어야 한다. 본 논문에서는 이를 위한 효율적인 그룹 서명 기법인 그룹의 공개키 수정없이 그리고 나머지 구성원들이 새로운 인증을 요구하지 않는 인증방법으로, 항상 변화하는 인터넷에서 신뢰기관인 중앙 인증기관이 없는 쓰레시홀드 크립토그래피(Threshold Cryptography)를 가진 비잔틴 어그리먼트 프로토콜(Byzantine Agreement Protocol)을 제안한다 아울러 쓰레시홀드 크립토그래피는 키 관리 문제를 피하고 키 분산을 하기 위해 신뢰된 분배자 없이 호모모르픽 시크리트 쉐어링의 Proactive AVSS(Asynchronous Verifiable Secret Sharing)를 제시한다.

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Design of 3D GUI Simulator for Integrated BTT Missile System (고기동 BTT 미사일 시스템의 통합 시뮬레이션을 위한 GUI 구현)

  • Park, Se-Beom;Yeom, Joon-Hyung;Ha, In-Joong
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1790_1791
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    • 2009
  • OpenCV을 사용하여 MFC/OpenGL 환경의 BTT 미사일을 설계하였다. 시뮬레이션을 수행 하는 동안의 이미지에서 표적의 특징점(Feature point)를 추출해 호모그래피 행렬(Homography Matrix)을 계산하여 이로부터 표적의 위치, 속도, 자세 정보등을 추정하도록 하였다. 그리고 미사일 동역학, 자동 조종 장치 역시 C로 구현하여 통합 시뮬레이션 환경을 구축하였다.

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Camera Extrinsic Parameter Estimation using 2D Homography and Nonlinear Minimizing Method based on Geometric Invariance Vector (기하학적 불변벡터 기탄 2D 호모그래피와 비선형 최소화기법을 이용한 카메라 외부인수 측정)

  • Cha, Jeong-Hee
    • Journal of Internet Computing and Services
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    • v.6 no.6
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    • pp.187-197
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    • 2005
  • In this paper, we propose a method to estimate camera motion parameter based on invariant point features, Typically, feature information of image has drawbacks, it is variable to camera viewpoint, and therefore information quantity increases after time, The LM(Levenberg-Marquardt) method using nonlinear minimum square evaluation for camera extrinsic parameter estimation also has a weak point, which has different iteration number for approaching the minimal point according to the initial values and convergence time increases if the process run into a local minimum, In order to complement these shortfalls, we, first proposed constructing feature models using invariant vector of geometry, Secondly, we proposed a two-stage calculation method to improve accuracy and convergence by using 2D homography and LM method, In the experiment, we compared and analyzed the proposed method with existing method to demonstrate the superiority of the proposed algorithms.

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A Side-and Rear-View Image Registration System for Eliminating Blind Spots (차량의 사각 지대 제거를 위한 측/후방 카메라 영상 정합 시스템)

  • Park, Min-Woo;Jang, Kyung-Ho;Jung, Soon Ki;Yoon, Pal-Joo
    • Journal of KIISE:Software and Applications
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    • v.36 no.8
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    • pp.653-663
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    • 2009
  • In this paper, we propose a blind spots elimination system using three cameras. A wide-angle camera is attached on trunk for eliminating blind spots of a rear-view mirror and two cameras are attached on each side-view mirror for eliminating blind spots of vehicle's sides. In order to eliminate blind spots efficiently, we suggest a method to build a panoramic mosaic view with two side images and one wide-angle rear image. First, we obtain an undistorted image from a wide-angle camera of rear-view and calculate the focus-of-contraction (FOC) in undistorted images of rear-view while the car is moving straight forward. Second, we compute a homography among side-view images and an undistorted image of rear-view in flat road scenes. Next, we perform an image registration process after road and background region segmentation. Finally, we generate various views such as a cylinder panorama view, a top view and an information panoramic mosaic view.

Panoramic Image Reconstruction using SURF Algorithm (SURF 알고리즘을 이용한 파노라마 영상 재구성)

  • Kim, Kwang-Baek
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.4
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    • pp.13-18
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    • 2013
  • Panorama picturing is an elongated photographing technique that connects images with rotating and moving multiple images horizontally that are partly overlapped. However, for hand-operated photographs, it is difficult to adjust overlapped parts because of tilted angles. There has been a study comparing adjacent pictures using labeling technique but it was time-consuming and had angle dissonant cases in nature. In this paper, we propose a less time-consuming paranoiac scene reconstruction method. Our method is also based on labeling-and-comparing technique but uses only 1/3 of it. Then, if there exists angle dissonance, it tries to find characteristic points by SURF algorithm and adjusts them with homography. The efficacy of this method is experimentally verified by experiments using various images

Gaze Tracking Using a Modified Starburst Algorithm and Homography Normalization (수정 Starburst 알고리즘과 Homography Normalization을 이용한 시선추적)

  • Cho, Tai-Hoon;Kang, Hyun-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1162-1170
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    • 2014
  • In this paper, an accurate remote gaze tracking method with two cameras is presented using a modified Starburst algorithm and honography normalization. Starburst algorithm, which was originally developed for head-mounted systems, often fails in detecting accurate pupil centers in remote tracking systems with a larger field of view due to lots of noises. A region of interest area for pupil is found using template matching, and then only within this area Starburst algorithm is applied to yield pupil boundary candidate points. These are used in improved RANSAC ellipse fitting to produce the pupil center. For gaze estimation robust to head movement, an improved homography normalization using four LEDs and calibration based on high order polynomials is proposed. Finally, it is shown that accuracy and robustness of the system is improved using two cameras rather than one camera.

Feature Matching Algorithm Robust To Viewpoint Change (시점 변화에 강인한 특징점 정합 기법)

  • Jung, Hyun-jo;Yoo, Ji-sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2363-2371
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    • 2015
  • In this paper, we propose a new feature matching algorithm which is robust to the viewpoint change by using the FAST(Features from Accelerated Segment Test) feature detector and the SIFT(Scale Invariant Feature Transform) feature descriptor. The original FAST algorithm unnecessarily results in many feature points along the edges in the image. To solve this problem, we apply the principal curvatures for refining it. We use the SIFT descriptor to describe the extracted feature points and calculate the homography matrix through the RANSAC(RANdom SAmple Consensus) with the matching pairs obtained from the two different viewpoint images. To make feature matching robust to the viewpoint change, we classify the matching pairs by calculating the Euclidean distance between the transformed coordinates by the homography transformation with feature points in the reference image and the coordinates of the feature points in the different viewpoint image. Through the experimental results, it is shown that the proposed algorithm has better performance than the conventional feature matching algorithms even though it has much less computational load.

Moving Objects Tracking Method using Spatial Projection in Intelligent Video Traffic Surveillance System (지능형 영상 교통 감시 시스템에서 공간 투영기법을 이용한 이동물체 추적 방법)

  • Hong, Kyung Taek;Shim, Jae Homg;Cho, Young Im
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.35-41
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    • 2015
  • When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.