• 제목/요약/키워드: 3D surface matching

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스테레오 내시경 영상의 깊이정보추출 알고리즘 개발 (Development of Algorithm or Depth Extraction in Stereo Endoscopic Image)

  • 이상학;김정훈;황도식;송철규;이영묵;김원기;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.142-145
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    • 1997
  • This paper presents the development of depth extraction algorithm or the 3D Endoscopic Data using a stereo matching method and depth calculation. The purpose of other's algorithms is to reconstruct 3D object surface and make depth map, but a one of this paper is to measure exact depth information on the base of [cm] from camera to object. For this, we carried out camera calibration.

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분류영상과 에지영상을 이용한 입체 위성영상의 SGM 성능개선 (SGM Performance Improvement of Stereo Satellite Image with Classified Image and Edge Image)

  • 이효성;박병욱
    • 한국측량학회지
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    • 제38권6호
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    • pp.655-661
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    • 2020
  • SGM (Semi Global Matching)은 입체영상 간 모든점의 매칭점을 찾기 때문에 고해상도 위성영상으로부터 고밀도 수치표면모델 제작이 가능하다. 그러나 물과 그림자, 폐색 지역이 포함되면 그 주변지점에도 오매칭의 영향을 준다. 특히 우리나라 아파트 구조물과 같이 시차가 크고 길쭉한 형태의 건물에서는 50cm급 고해상도 위성영상에 SGM 방법을 적용하더라도 건물의 3차원 복원은 어렵다. 따라서 본 연구는 1m급 해상도의 IKONOS-2 입체 위성 영상으로부터 분류영상과 에지영상을 이용한 SGM 기법을 제안, 적용하여 수치표면모델을 제작하고 일반 SGM 방법, ERDAS 소프트웨어의 고밀도 ABM (Area Based Matching) 매칭으로 제작한 수치표면모델과 비교하였다. 실험 대상지역에는 제안방법의 아파트 수치표면모델 결과가 가장 우수하였다. 결과적으로, 해상도가 1m 임에도 불구하고 제안방법을 이용하여 건물 수치표면모델의 윤곽선을 기존 방법에 비해 더욱 더 선명하게 표현할 수 있었다.

고해상도 위성영상을 활용한 자동화된 건물 영역 추출 하이브리드 접근법 (A Hybrid Approach for Automated Building Area Extraction from High-Resolution Satellite Imagery)

  • 안효원;김창재;이효성;권원석
    • 한국측량학회지
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    • 제37권6호
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    • pp.545-554
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    • 2019
  • 본 연구에서는 기존의 연구들에서 주로 사용하여왔던 현장측량, 항공사진, 라이다 데이터 등의 취득이 원천적으로 어려운 지역에 대한 건물 영역 추출을 구현하고자 하였다. 이에 접근성에 큰 영향을 받지 않는 거의 유일한 데이터인 고해상도 위성영상을 활용한 방법론을 제시하고자 한다. 영상정합을 통해 추출되는 점군 데이터 또는 DSM(Digital Surface Models)을 활용한 건물 영역 추출은 데이터내의 높은 잡음과 다수의 빈 영역으로 인해 그 정확성에 한계를 보이고 있다. 따라서 본 연구에서는 영상 정합을 통해 얻어진 3차원 점군 데이터, 영상의 색상 및 선형 정보를 결합하여 건물 영역 추출을 수행하는 하이브리드식 접근법을 제안하였다. 일차적으로 다중영상정합으로 얻어진 3차원 점군 데이터로부터 지면점과 비지면점을 분리하고, 비지면점으로부터 초기 건물 대상지를 추출한다. 이후, 영상의 색상기반 분할을 수행하여 얻어진 결과와 초기 건물 대상지를 결합하여, 색상분할기반 건물 대상지를 추출한다. 이어서 영상의 선형 추출 및 공간 분할정보를 이용하여 최종적인 건물 영역을 선정하게 된다. 본 논문에서 제시한 건물 영역 자동 추출 방법론은 Correctness: 98.44%, Completeness: 95.05%, 위치오차: 1.05m 정도의 성능을 보임을 확인하였으며, 더불어 직각형태 이상의 복잡한 건물 영역도 잘 추출함을 확인하였다.

메타큐브를 이용한 캐릭터 골격 및 애니메이션 자동 생성 방법 (Method of Automatic Reconstruction and Animation of Skeletal Character Using Metacubes)

  • 김은석;허기택;윤재홍
    • 한국콘텐츠학회논문지
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    • 제6권11호
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    • pp.135-144
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    • 2006
  • 음함수 곡면 모델은 캐릭터나 유체 등과 같은 복잡한 곡면으로 이루어진 객체들에 대한 모델링이 용이할 뿐만 아니라 적은 양의 데이터로 다양한 형태의 곡면을 표현할 수 있다. 또한 표면을 나타내는 특성과 볼륨을 나타내는 특성을 동시에 가지고 있어 물체의 변형 또한 용이하여 3D 애니메이션에 효과적으로 사용될 수 있다. 그러나 기존 음함수 프리미티브들은 축에 대해 평행하거나 모든 축 방향으로 대칭적인 특성을 가짐으로써 여러 가지 형태의 모션을 갖는 물체의 모델링에 사용이 용이하지 않았다. 본 논문은 기존의 음함수 프리미티브 중 하나인 메타큐브에 회전 요소를 추가함으로써 모션캡쳐 데이터와의 매칭에 따라 다양한 캐럭터의 포즈를 모델링할 수 있는 효과적인 애니메이션 제작 방법을 제안하고자 한다.

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Realistic Building Modeling from Sequences of Digital Images

  • Song, Jeong-Heon;Kim, Min-Suk;Han, Dong-Yeob;Kim, Yong-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.516-516
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    • 2002
  • With the wide usage of LiDAR data and high-resolution satellite image, 3D modeling of buildings in urban areas has become an important research topic in the photogrammetry and computer vision field for many years. However the previous modeling has its limitations of merely texturing the image to the DSM surface of the study area and does not represent the relief of building surfaces. This study is focused on presenting a system of realistic 3D building modeling from consecutive stereo image sequences using digital camera. Generally when acquiring images through camera, various parameters such as zooming, focus, and attitude are necessary to extract accurate results, which in certain cases, some parameters have to be rectified. It is, however, not always possible or practical to precisely estimate or rectify the information of camera positions or attitudes. In this research, we constructed the collinearity condition of stereo images through extracting the distinctive points from stereo image sequence. In addition, we executed image matching with Graph Cut method, which has a very high accuracy. This system successfully performed the realistic modeling of building with a good visual quality. From the study, we concluded that 3D building modeling of city area could be acquired more realistically.

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In-House Developed Surface-Guided Repositioning and Monitoring System to Complement In-Room Patient Positioning System for Spine Radiosurgery

  • Kim, Kwang Hyeon;Lee, Haenghwa;Sohn, Moon-Jun;Mun, Chi-Woong
    • 한국의학물리학회지:의학물리
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    • 제32권2호
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    • pp.40-49
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    • 2021
  • Purpose: This study aimed to develop a surface-guided radiosurgery system customized for a neurosurgery clinic that could be used as an auxiliary system for improving the accuracy, monitoring the movements of patients while performing hypofractionated radiosurgery, and minimizing the geometric misses. Methods: RGB-D cameras were installed in the treatment room and a monitoring system was constructed to perform a three-dimensional (3D) scan of the body surface of the patient and to express it as a point cloud. This could be used to confirm the exact position of the body of the patient and monitor their movements during radiosurgery. The image from the system was matched with the computed tomography (CT) image, and the positional accuracy was compared and analyzed in relation to the existing system to evaluate the accuracy of the setup. Results: The user interface was configured to register the patient and display the setup image to position the setup location by matching the 3D points on the body of the patient with the CT image. The error rate for the position difference was within 1-mm distance (min, -0.21 mm; max, 0.63 mm). Compared with the existing system, the differences were found to be as follows: x=0.08 mm, y=0.13 mm, and z=0.26 mm. Conclusions: We developed a surface-guided repositioning and monitoring system that can be customized and applied in a radiation surgery environment with an existing linear accelerator. It was confirmed that this system could be easily applied for accurate patient repositioning and inter-treatment motion monitoring.

Optical Flow Estimation of a Fluid Based on a Physical Model

  • Kim, Jin-Woo
    • Journal of information and communication convergence engineering
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    • 제7권4호
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    • pp.539-544
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    • 2009
  • An estimation of 3D velocity field including occluded parts without maxing tracer to the fluid had not only never been proposed but also impossible by the conventional computer vision algorithm. In this paper, we propose a new method of three dimensional optical flow of the fluid based on physical model, where some boundary conditions are given from a priori knowledge of the flow configuration. Optical flow is obtained by minimizing the mean square errors of a basic constraint and the matching error terms with visual data using Euler equations. Here, Navier-Stokes motion equations and the differences between occluded data and observable data are employed as the basic constrains. we verify the effectiveness of our proposed method by applying our algorithm to simulated data with partly artificially deleted and recovering the lacking data. Next, applying our method to the fluid of observable surface data and the knowledge of boundary conditions, we demonstrate that 3D optical flow are obtained by proposed algorithm.

A novel reference model for dental scanning system evaluation: analysis of five intraoral scanners

  • Karakas-Stupar, Irina;Zitzmann, Nicola Ursula;Joda, Tim
    • The Journal of Advanced Prosthodontics
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    • 제14권2호
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    • pp.63-69
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    • 2022
  • PURPOSE. The aim of this in vitro study was to investigate the accuracy (trueness and precision) of five intraoral scanners (IOS) using a novel reference model for standardized performance evaluation. MATERIALS AND METHODS. Five IOSs (Medit i500, Omnicam, Primescan, Trios 3, Trios 4) were used to digitize the reference model, which represented a simplified full-arch situation with four abutment teeth. Each IOS was used five times by an experienced operator, resulting in 25 STL (Standard Tessellation Language) files. STL data were imported into 3D software (Final Surface®) and examined for inter- and intra-group analyses. Deviations in the parameter matching error were calculated. ANOVA F-test and Kruskal-Wallis test were applied for inter-group comparisons (α = .05); and the coefficient of variation (CV) was calculated for intra-group comparisons (in % ± SD). RESULTS. Primescan (matching error value: 0.015), Trios 3 (0.016), and Trios 4 (0.018) revealed comparable results with significantly higher accuracy compared to Medit i500 (0.035) and Omnicam (0.028) (P < .001). For intra-group comparison, Trios 4 demonstrated the most homogenous results (CV 15.8%). CONCLUSION. The novel reference model investigated in this study can be used to assess the performance of dental scanning technologies in the daily routine setting and in research settings.

Strip Adjustment of Airborne Laser Scanner Data Using Area-based Surface Matching

  • Lee, Dae Geon;Yoo, Eun Jin;Yom, Jae-Hong;Lee, Dong-Cheon
    • 한국측량학회지
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    • 제32권6호
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    • pp.625-635
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    • 2014
  • Multiple strips are required for large area mapping using ALS (Airborne Laser Scanner) system. LiDAR (Light Detection And Ranging) data collected from the ALS system has discrepancies between strips due to systematic errors of on-board laser scanner and GPS/INS, inaccurate processing of the system calibration as well as boresight misalignments. Such discrepancies deteriorate the overall geometric quality of the end products such as DEM (Digital Elevation Model), building models, and digital maps. Therefore, strip adjustment for minimizing discrepancies between overlapping strips is one of the most essential tasks to create seamless point cloud data. This study implemented area-based matching (ABM) to determine conjugate features for computing 3D transformation parameters. ABM is a well-known method and easily implemented for this purpose. It is obvious that the exact same LiDAR points do not exist in the overlapping strips. Therefore, the term "conjugate point" means that the location of occurring maximum similarity within the overlapping strips. Coordinates of the conjugate locations were determined with sub-pixel accuracy. The major drawbacks of the ABM are sensitive to scale change and rotation. However, there is almost no scale change and the rotation angles are quite small between adjacent strips to apply AMB. Experimental results from this study using both simulated and real datasets demonstrate validity of the proposed scheme.

Projection Method에 의한 주조 해석용 접촉 요소망 생성 기법 (Contact Element Generation Method for Casting Analysis by using Projection Method)

  • 남정호;곽시영
    • 한국주조공학회지
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    • 제40권6호
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    • pp.146-150
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    • 2020
  • In general, hot metal castings contract and molds expand during the cooling step of a casting process. Therefore, it is important to consider both the casting and mold at the same time in a casting process analysis. For a more accurate analysis that includes the contact characteristics, matching each node of the casting and mold in the contact area is recommended. However, it is very difficult to match the nodes of the casting and the mold when generating elements due to the geometric problem of CAD model data. The present study proposes a mesh generation technique that considers mechanical contact between the casting and the mold in a casting analysis (finite element analysis). The technique focuses on the fact that the mold surrounds the casting. After generating the 3D elements for the casting, the surface elements of the casting in contact with the mold are projected inside the mold to create contact elements that coincide with the contact surface of the casting. It was confirmed that high-quality contact element information and a 3D element net can be automatically generated by the method proposed in this study.