• Title/Summary/Keyword: 공간시차모델

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A Study on the Stereo Image Matching using MRF model and segmented image (MRF 모델과 분할 영상을 이용한 영상정합에 관한 연구)

  • 변영기;한동엽;김용일
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2004.03a
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    • pp.511-516
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    • 2004
  • 수치표고모델, 정사영상과 같은 공간영상정보를 구축하기 위해서는 입체영상을 이동한 영상정합(image matching)의 과정이 필수적이며, 단영상 또는 스테레오 영상을 이용하여 대상물의 3차원 정보를 재구성하고 복원하는 기술은 사진측량 및 컴퓨터 비전 분야의 주요 연구 중의 하나이다. 본 연구에서는 화소값의 유사성과 상호관계성을 고려하는 MRF 모델을 이용하여 영상정합을 수행하였다. MRF 모델은 공간분석이나 물리적 현상의 전후관계(contextural dependencies)의 분석을 위한 확률이론의 한 분야로 다양한 공간정보를 통합할 수 있는 방법을 제공한다. 본 연구에서는 기준영상의 화소에 시차를 할당하는 접근 방법으로 확률모델의 일종인 마르코프 랜덤필드(MRF)모델에 기반한 영상정합기법을 제안하였고, 공간내 화소의 상호관계를 고려해주므로 대상물의 경계부분에서의 매칭 정확도를 향상시켰다. 영상정합문제에서의 MRF 기본가정은 영상 내 특정화소의 시차는 그 주위화소의 시차에 의한 부분정보에 따라 결정이 가능하다는 것이다. 깁스분포(gibbs distribution)를 사용하여 사후(posteriori) 확률값을 유도해내고, 이를 최대사후확률(MAP: Maximum a Posteriori)추정법을 이용하여 에너지함수를 생성하였다. 생성된 에너지함수의 최적화(Optimization)를 위하여 본 연구에서는 전역최적화기법인 multiway cut 기법을 사용하여 영상정합에 있어 에너지함수를 최소로 하는 이미지화소에 대한 시차레이블을 구하여 영상정합을 수행하였다.

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Model-Based Plane Detection in Disparity Space Using Surface Partitioning (표면분할을 이용한 시차공간상에서의 모델 기반 평면검출)

  • Ha, Hong-joon;Lee, Chang-hun
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.10
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    • pp.465-472
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    • 2015
  • We propose a novel plane detection in disparity space and evaluate its performance. Our method simplifies and makes scenes in disparity space easily dealt with by approximating various surfaces as planes. Moreover, the approximated planes can be represented in the same size as in the real world, and can be employed for obstacle detection and camera pose estimation. Using a stereo matching technique, our method first creates a disparity image which consists of binocular disparity values at xy-coordinates in the image. Slants of disparity values are estimated by exploiting a line simplification algorithm which allows our method to reflect global changes against x or y axis. According to pairs of x and y slants, we label the disparity image. 4-connected disparities with the same label are grouped, on which least squared model estimates plane parameters. N plane models with the largest group of disparity values which satisfy their plane parameters are chosen. We quantitatively and qualitatively evaluate our plane detection. The result shows 97.9%와 86.6% of quality in our experiment respectively on cones and cylinders. Proposed method excellently extracts planes from Middlebury and KITTI dataset which are typically used for evaluation of stereo matching algorithms.

Modeling of Distance Localization by Using an Extended Auditory Parallax Model (확장된 음향적 시차 모델을 이용한 음상 거리정위의 모델화)

  • 김해영
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.1
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    • pp.30-39
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    • 2004
  • This study aims at establishing a digital signal processing technique to control 3-D sound localization, especially focusing our ores on the role of information provided by Head-Related Transfer Function (HRTF). In order to clarify the cues to control the auditory distance perception, two conventional models named Hirsch-Tahara model and auditory parallax model were examined. As a result, it was shown that both models have limitations to universally explain the auditory distance perception. Hence, the auditory parallax model was extended so as to apply in broader cases of auditory distance perception. The results of the experiment by simulating HRTFs based on the extended parallax model showed that the cues provided by the new model were almost sufficient to control the perception of auditory distance from an actual sound source located within about 2m.

An Analysis on the Characteristics in Spatial Distribution of Consumer Organizations (소비자단체의 공간적 분포 특성)

  • Ko, Daekyun;Han, Jihyung
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.45-55
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    • 2018
  • The purpose of this study was to provide the necessary data to explore the development plans of consumer organizations by looking at the spatial distribution of consumer organizations. This is because community-based consumer organizations can propose concrete measures to solve consumer problems more effectively. In this study, data of 11 consumer organizations and 815 branches were collected and analyzed using local indicators of spatial distribution and spatial lag model. First, it was difficult to find patterns according to the geographical characteristics of the spatial distribution of consumer organizations. Second, consumer organizations were more distributed in areas with large populations and businesses and large areas. Third, there is a discrepancy between the demand and supply of consumer organizations when compared with the number of consumer counseling. Based on this, it is necessary to constantly seek concrete development plans by supplementing the qualitative data on the activities of consumer organizations.

A study using spatial regression models on the determinants of the welfare expenditure in the local governments in Korea (공간회귀분석을 통한 지방자치단체 복지지출의 영향요인에 관한 연구)

  • Park, Gyu-Beom;Ham, Young-Jin
    • Journal of Digital Convergence
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    • v.16 no.10
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    • pp.89-99
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    • 2018
  • The purpose of this study is to analyse the determinants of the change in the welfare expenditure of local governments in 2015. This study analyzed the spatial correlation of welfare expenditure among neighboring local governments and determined the factors affecting the welfare expenditures. According to the results of the study, spatial correlation of welfare expenditure among local governments appears. Determinants, such as socio-economic factors, administrative factors, public financial factors are affecting the amount of the welfare expenditures, but local political factors, and local tax, last year's budgets are not correlated with the amount of local welfare expenditures. In this study, it is significant to found out that the spatial correlation of welfare expenditure among the local governments and to examine the determinants. If possible, it is necessary to analyze the time-series analysis using the multi-year welfare expenditure data, expecially self-welfare expenditures.

Accuracy Assessment of 3D Geo-positioning for SPOT-5 HRG Stereo Images Using Orbit-Attitude Model (궤도기반 모델을 이용한 SPOT-5 HGR 입체영상의 3차원 위치결정 정확도 평가)

  • Wie, Gwang-Jae;Kim, Deok-In;Lee, Ha-Joon;Jang, Yong-Ho
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.5
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    • pp.529-534
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    • 2009
  • In this study, we investigate the feasibility of modeling entire image strips that has been acquired from the same orbital segments. We tested sensor models based on satellite orbit and attitude with different sets(Type1 ~ Type4) of unknowns. We checked the accuracy of orbit modeling by establishing sensor models of one scene using control points extracted from the scene and by applying the models to adjacent scenes within the same orbital segments. Results indicated that modeling of individual scenes with 1st or 2nd order unknowns was recommended. We tested the accuracy of around control points, digital map using the HIST-DPW (Hanjin Information Systems & Telecommunication Digital Photogrammetric Workstation) As a result, we showed that the orbit-based sensor model is a suitable sensor model for making 1/25,000 digital map.

Stereo Matching For Satellite Images using The Classified Terrain Information (지형식별정보를 이용한 입체위성영상매칭)

  • Bang, Soo-Nam;Cho, Bong-Whan
    • Journal of Korean Society for Geospatial Information Science
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    • v.4 no.1 s.6
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    • pp.93-102
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    • 1996
  • For an atomatic generation of DEM(Digital Elevation Model) by computer, it is a time-consumed work to determine adquate matches from stereo images. Correlation and evenly distributed area-based method is generally used for matching operation. In this paper, we propose a new approach that computes matches efficiantly by changing the size of mask window and search area according to the given terrain information. For image segmentation, at first edge-preserving smoothing filter is used for preprocessing, and then region growing algorithm is applied for the filterd images. The segmented regions are classifed into mountain, plain and water area by using MRF(Markov Random Filed) model. Maching is composed of predicting parallex and fine matching. Predicted parallex determines the location of search area in fine matching stage. The size of search area and mask window is determined by terrain information for each pixel. The execution time of matching is reduced by lessening the size of search area in the case of plain and water. For the experiments, four images which are covered $10km{\times}10km(1024{\times}1024\;pixel)$ of Taejeon-Kumsan in each are studied. The result of this study shows that the computing time of the proposed method using terrain information for matching operation can be reduced from 25% to 35%.

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The Research on Location Monitoring Device using Exploratory Spatial Data Analysis (공간종속성 분석기반 모니터링 장비위치결정 기법)

  • Kim, Joo Hwan;Nam, Doohee;Jung, Jum Lae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.124-137
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    • 2018
  • The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

An Efficient Method of Patch Packing for 3DoF+ Video Coding (3DoF+ 비디오의 효율적인 부호화를 위한 패치 패킹 기법)

  • Kim, Yong-Ju;Kim, Hyun-Ho;Kim, Jae-Gon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.11a
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    • pp.206-207
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    • 2019
  • MPEG 에서는 최대 6 자유도(6DoF)를 가지는 몰입형 미디어의 압축 표준화를 진행하고 있다. 360 비디오에 움직임 시차(parallax)를 추가한 것으로 정의되는 3DoF+의 가상 공간에서, 원하는 위치의 장면을 제공하려면 다른 위치에서 찍은 여러 비디오를 사용하여 임의의 원하는 시점의 뷰(view)를 렌더링 해야 한다. MPEG-I Visual 그룹에서는 이러한 3DoF+ 비디오의 효율적인 부호화 및 전송을 위한 표준화가 진행되고 있으며, 최근 시험모델(TMIV)을 개발하고 있다. 본 논문은 TMIV 에서 패치(patch)를 아틀라스(atlas)에 효율적으로 패킹하여 부호화 성능을 향상시킬 수 있는 패치 패킹 방법을 제안한다. 제안 방식은 패킹되는 패치들 간에 보호 대역(Guard Band)를 적용하여 패치간의 거리를 둠으로써 부호화로 인해 발생할 수 있는 아티팩트(artifact)를 줄여 최종 복원 뷰의 화질을 향상시킨다.

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A Method of Hole Filling for Atlas Generation in Immersive Video Coding (몰입형 비디오 부호화의 아틀라스 생성을 위한 홀 채움 기법)

  • Lim, Sung-Gyun;Lee, Gwangsoon;Kim, Jae-Gon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.75-77
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    • 2021
  • MPEG 비디오 그룹은 제한된 3D 공간 내에서 움직임 시차(motion parallax)를 제공하면서 원하는 시점(view)을 렌더링(rendering)하기 위한 표준으로 TMIV(Test Model for Immersive Video)라는 테스트 모델과 함께 효율적인 몰입형 비디오의 부호화를 위한 MIV(MPEG Immersive Video) 표준을 개발하고 있다. 몰입감 있는 시각적 경험을 제공하기 위해서는 많은 수의 시점 비디오가 필요하기 때문에 방대한 양의 비디오를 고효율로 압축하는 것이 불가피하다. TMIV 는 여러 개의 입력 시점 비디오를 소수의 아틀라스(atlas) 비디오로 변환하여 부호화되는 화소수를 줄이게 된다. 아틀라스는 선택된 소수의 기본 시점(basic view) 비디오와 기본 시점으로부터 합성할 수 없는 나머지 추가 시점(additional view) 비디오의 영역들을 패치(patch)로 만들어 패킹(packing)한 비디오이다. 본 논문에서는 아틀라스 비디오의 보다 효율적인 부호화를 위해서 패치 내에 생기는 작은 홀(hole)들을 채우는 기법을 제안한다. 제안기법은 기존 TMIV8.0 에 비해 1.2%의 BD-rate 이 향상된 성능을 보인다.

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