• 제목/요약/키워드: 3D image analysis

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GIS 공간분석을 위한 3D 영상모형의 구축과 활용 (Construction and Application of 3D Image Model for GIS Spatial Analysis)

  • 정성혁;이계동;이재기
    • 한국측량학회지
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    • 제26권6호
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    • pp.561-569
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    • 2008
  • 현재, 3D 영상모형을 구축하기 위하여 위성영상, 항공영상 및 항공레이저 측량데이터가 주로 이용되고 있으나, 상기 데이터만을 이용하여 구축된 모형은 지형과 지물을 세밀하고 사실감 있게 표현하는데 제한적이기 때문에 고품질의 영상모형 구축이 필요한 실정이다. 3D 영상모형 구축시 3D 모형을 제작하고, 지상사진으로부터 텍스쳐를 제작하여 3D 모형에 사실감을 부여한다. 본 연구에서는 지형과 인공 시설물을 대상으로 사진측량 및 레이저측량 데이터를 이용하여 공간정확도, 세밀묘사 및 현실감이 강조된 실세계에 근접한 3D 영상모형을 구축하기 위한 기법을 분석하였다. 연구결과 위치정확도와 함께 사진과 같은 사실감을 확보한 3D 영상모형을 구축하였고 인터넷 3D 영상지도 서비스를 통하여 제공 할 수 있도록 하였다. 3D 영상모형을 이용하여 일조권분석, 경관분석, 시설물관리 등 다양한 분야에 활용할 수 있었다.

3차원 영상 객체 휴먼팩터 알고리즘 측정에 관한 연구 (A Research on the Measurement of Human Factor Algorithm 3D Object)

  • 최병관
    • 디지털산업정보학회논문지
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    • 제14권2호
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    • pp.35-47
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    • 2018
  • The 4th industrial revolution, digital image technology has developed beyond the limit of multimedia industry to advanced IT fusion and composite industry. Particularly, application technology related to HCI element algorithm in 3D image object recognition field is actively developed. 3D image object recognition technology evolved into intelligent image sensing and recognition technology through 3D modeling. In particular, image recognition technology has been actively studied in image processing using object recognition recognition processing, face recognition, object recognition, and 3D object recognition. In this paper, we propose a research method of human factor 3D image recognition technology applying human factor algorithm for 3D object recognition. 1. Methods of 3D object recognition using 3D modeling, image system analysis, design and human cognitive technology analysis 2. We propose a 3D object recognition parameter estimation method using FACS algorithm and optimal object recognition measurement method. In this paper, we propose a method to effectively evaluate psychological research techniques using 3D image objects. We studied the 3D 3D recognition and applied the result to the object recognition element to extract and study the characteristic points of the recognition technology.

Transformations and Their Analysis from a RGBD Image to Elemental Image Array for 3D Integral Imaging and Coding

  • Yoo, Hoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2273-2286
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    • 2018
  • This paper describes transformations between elemental image arrays and a RGBD image for three-dimensional integral imaging and transmitting systems. Two transformations are introduced and analyzed in the proposed method. Normally, a RGBD image is utilized in efficient 3D data transmission although 3D imaging and display is restricted. Thus, a pixel-to-pixel mapping is required to obtain an elemental image array from a RGBD image. However, transformations and their analysis have little attention in computational integral imaging and transmission. Thus, in this paper, we introduce two different mapping methods that are called as the forward and backward mapping methods. Also, two mappings are analyzed and compared in terms of complexity and visual quality. In addition, a special condition, named as the hole-free condition in this paper, is proposed to understand the methods analytically. To verify our analysis, we carry out experiments for test images and the results indicate that the proposed methods and their analysis work in terms of the computational cost and visual quality.

Application Study on the View Points Analysis for National Roads Route using Digital Elevation Data

  • Yeon, Sang-Ho;Hong, Ill-Hwa
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.292-296
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    • 2002
  • This study has been accomplished as a experimental study for field application of 3D Perspective Image Map creation using Digital Topographical Map and based on the Ortho-Projection Image which is generated from Satellite Overlay Images and the precise Relative Coordinates of longitude, latitude and altitude which is corrected by GCP(Ground Control Point). AS to Contour Lines Map which is created by Coordinate conversion of 1:5,000 Topographical Map, we firstly made Satellite Image Map to substitute for Digital Topographical Map through overlapping the original images on top of each Ortho-Projection Image created and checking the accuracy. In addition to 3D Image Map creation for 3D Terrain analysis of a target district, Slope Gradient Analysis, Aspect Analysis and Terrain Elevation Model generation, multidirectional 3D Image generation by DEM can be carried out through this study. This study is to develop a mapping technology with which we can generate 3D Satellite Images of a target district through the composition of Digital Maps and Facility Blueprint and arbitrarily create 3D Perspective Images of the target district from any view point.

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DLT를 이용한 3차원 공간검증시 RMSE에 대한 통계학적 분석 (Statistical analysis for RMSE of 3D space calibration using the DLT)

  • 이현섭;김기형
    • 한국운동역학회지
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    • 제13권1호
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    • pp.1-12
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    • 2003
  • The purpose of this study was to design the method of 3D space calibration to reduce RMSE by statistical analysis when using the DLT algorithm and control frame. Control frame for 3D space calibration was consist of $1{\times}3{\times}2m$ and 162 contort points adhere to it. For calculate of 3D coordination used two methods about 2D coordination on image frame, 2D coordinate on each image frame and mean coordination. The methods of statistical analysis used one-way ANOVA and T-test. Significant level was ${\alpha}=.05$. The compose of methods for reduce RMSE were as follow. 1. Use the control frame composed of 24-44 control points arranged equally. 2. When photographing, locate control frame to center of image plane(image frame) o. use the lens of a few distortion. 3. When calculate of 3D coordination, use mean of 2D coordinate obtainable from all image frames.

TV영상의 3차원 변환을 위한 공간분석 알고리즘에 관한 연구 (A Study on the space analysis algorithm for 3D TV image conversion)

  • 신강호;김계국
    • 한국컴퓨터정보학회논문지
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    • 제7권4호
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    • pp.121-126
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    • 2002
  • 3차원 영상은 2차원 영상과 달리 사물을 직접 볼 때처럼 입체감을 느낄 수 있으며 영상을 통해 바라보는 공간과 자신의 공간 연결이 더 자연스러워지므로 시각정보에 큰 영향을 주고 있다. 2차원 영상을 3차원으로 변환하기 위하여 몇 가지 방법이 제시되고 있다. 본 논문에서는 3차원 영상을 변환하기 위하여 2차원 단일 영상을 사용하지 알고 계속적으로 입력되는 다중 영상을 MPEG의 움직임 벡터를 적용한 공간적 분석 알고리즘을 제안한 결과 실험대상으로부터 3차원 효과를 확인하였다.

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수치사진측량 기반 3차원영상생성 정확도 분석 (The Accuracy Analysis of 3D Image Generation by Digital Photogrammetry)

  • 강준묵;엄대용;임영빈
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2003년도 추계학술발표회 논문집
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    • pp.157-162
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    • 2003
  • The 3D Image which embodies real object to 3D space of computer enables various geometrical analysis as well as visualization of complex 3D shape by giving sense for the real and cubic effect that can not be offered in 2D image. Human gives real object to same physical properties in 3D space imagination world of computer, and it is expected that this enables offering of various information by user strengthening interface between human-computer to observe object in real condition. In this study, formal style routine of 3D image creation applying digital photogrammetry was designed for more practical, highly trusty 3D image creation, and the system was emboded using object-oriented technique which strengthen user interface. Also, the discontinuity information about rock slope using 3D image is acquired that is orientation, persistence, spacing and aperture etc.

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A Study on Representation of 3D Virtual Fabric Simulation with Drape Image Analysis II - Focus on the Comparison between Real Clothing and 3D Virtual Clothing -

  • Lee, Min-Jeong;Sohn, Hee-Soon;Kim, Jong-Jun
    • 패션비즈니스
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    • 제15권3호
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    • pp.97-111
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    • 2011
  • This study aims to apply 3D virtual fabric parameters - as obtained from previous research experiments - to 3D virtual clothing simulation in comparing its similarity with actual clothing as worn, with a view to verifying the objectivity and validity of the 3D virtual fabric simulation method devised by the drape image analysis method. In addition, the result is intended to be used as the basic data for new 3D virtual clothing simulation methods. As the results, 3D virtual fabric parameters designed to simulate 3D drape to be similar to actual fabrics were found to be Bending Strength, Buckling Point, Density, Particle Distance, and Shear. They were also found to be important measurements when evaluating visual similarity between drape shadow images and number of nodes. 3D virtual fabric simulation method devised by the drape image analysis method was appropriate in extracting 3D fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics, in connection with 3D virtual fabric simulation. 3D virtual fabric parameters with the reflection of actual fabrics' physical and dynamic characteristics using the proposed 3D virtual fabric simulation method are accumulated and provided as a standard, this will facilitate the introduction 3D virtual fabric simulation technology.

이미지 분할(image segmentation) 관련 연구 동향 파악을 위한 과학계량학 기반 연구개발지형도 분석 (Scientometrics-based R&D Topography Analysis to Identify Research Trends Related to Image Segmentation)

  • 김영찬;진병삼;배영철
    • 한국산업융합학회 논문집
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    • 제27권3호
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    • pp.563-572
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    • 2024
  • Image processing and computer vision technologies are becoming increasingly important in a variety of application fields that require techniques and tools for sophisticated image analysis. In particular, image segmentation is a technology that plays an important role in image analysis. In this study, in order to identify recent research trends on image segmentation techniques, we used the Web of Science(WoS) database to analyze the R&D topography based on the network structure of the author's keyword co-occurrence matrix. As a result, from 2015 to 2023, as a result of the analysis of the R&D map of research articles on image segmentation, R&D in this field is largely focused on four areas of research and development: (1) researches on collecting and preprocessing image data to build higher-performance image segmentation models, (2) the researches on image segmentation using statistics-based models or machine learning algorithms, (3) the researches on image segmentation for medical image analysis, and (4) deep learning-based image segmentation-related R&D. The scientometrics-based analysis performed in this study can not only map the trajectory of R&D related to image segmentation, but can also serve as a marker for future exploration in this dynamic field.

Analysis of the Motion Picture Quality of Stereoscopic Three-dimensional Images

  • Choi, Hee-Jin;Jung, Jae-Hyun;Kim, Hwi;Lee, Byoung-Ho
    • Journal of the Optical Society of Korea
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    • 제14권4호
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    • pp.383-387
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    • 2010
  • The stereoscopic three-dimensional (3D) display provides a 3D image by inducing binocular disparity for the observers who wear special glasses. With the rapid progress in flat panel display technologies, the stereoscopic 3D display is becoming a new benefit-model of the current display industry, and several kinds of commercial stereoscopic 3D products have been released and are attracting people. Nowadays, the motion picture quality of the 3D image becomes as important as resolution or luminance since most of the commercial 3D products are 3D televisions or 3D monitors which are required to display a clear motion 3D image. In this paper, an analysis and simulation of the motion picture quality of stereoscopic 3D image is proposed, and a comparison of the motion picture performance among the current stereoscopic 3D technologies is also provided.