• 제목/요약/키워드: Texture Mapping

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Acquisition of 3D Spatial Data for Indoor Environment by Integrating Laser Scanner and CCD Sensor with IMU (실내 환경에서의 3차원 공간데이터 취득을 위한 IMU, Laser Scanner, CCD 센서의 통합)

  • Suh, Yong-Cheol;Nagai, Masahiko
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.1-9
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    • 2007
  • 3D data are in great demand for pedestrian navigation recently. For pedestrian navigation, we needs to reconstruct 3D model in detail from people's eye. In order to present spatial features in detail for pedestrian navigation, it is indispensable to develop 3D model not only in outdoor environment but also in indoor environment such as underground shopping complex. However, it is very difficult to acquire 3D data efficiently by mobile mapping without GPS. In this research, 3D shape was acquired by Laser scanner, and texture by CCD(Charge Coupled Device) sensor. Continuous changes position and attitude of sensors were measured by IMU(Inertial Measurement Unit). Moreover, IMU was corrected by relative orientation of CCD images without GPS(Global Positioning System). In conclusion, Reliable, quick, and handy method for acquiring 3D data for indoor environment is proposed by a combination of a digital camera and a laser scanner with IMU.

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An Improved Remote Sensing Image Fusion Algorithm Based on IHS Transformation

  • Deng, Chao;Wang, Zhi-heng;Li, Xing-wang;Li, Hui-na;Cavalcante, Charles Casimiro
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1633-1649
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    • 2017
  • In remote sensing image processing, the traditional fusion algorithm is based on the Intensity-Hue-Saturation (IHS) transformation. This method does not take into account the texture or spectrum information, spatial resolution and statistical information of the photos adequately, which leads to spectrum distortion of the image. Although traditional solutions in such application combine manifold methods, the fusion procedure is rather complicated and not suitable for practical operation. In this paper, an improved IHS transformation fusion algorithm based on the local variance weighting scheme is proposed for remote sensing images. In our proposal, firstly, the local variance of the SPOT (which comes from French "Systeme Probatoire d'Observation dela Tarre" and means "earth observing system") image is calculated by using different sliding windows. The optimal window size is then selected with the images being normalized with the optimal window local variance. Secondly, the power exponent is chosen as the mapping function, and the local variance is used to obtain the weight of the I component and match SPOT images. Then we obtain the I' component with the weight, the I component and the matched SPOT images. Finally, the final fusion image is obtained by the inverse Intensity-Hue-Saturation transformation of the I', H and S components. The proposed algorithm has been tested and compared with some other image fusion methods well known in the literature. Simulation result indicates that the proposed algorithm could obtain a superior fused image based on quantitative fusion evaluation indices.

Real-Time Image Mosaic Using DirectX (DirectX를 이용한 실시간 영상 모자익)

  • Chong, Min-Yeong;Choi, Seung-Hyun;Bae, Ki-Tae;Lee, Chil-Woo
    • The KIPS Transactions:PartB
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    • v.10B no.7
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    • pp.803-810
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    • 2003
  • In this paper, we describe a fast image mosaic method for constructing a large-scale image with video image captured from cameras that are arranged in radial shape. In the first step, we adopt the phase correlation algorithm to estimate the horizontal and vertical displacement between two adjacent images. Secondly, we calculate the accurate transform matrix among those cameras with Levenberg-Marquardt method. In the last step, those images are stitched into one large scale image in real-time by applying the transform matrix to the texture mapping function of DirectX. The feature of the method is that we do not need to use special hardware devices or write machine-level programs for Implementing a real-time mosaic system since we use conventional graphic APIs (Application Programming Interfaces), DirectX for image synthesis process.

A Double Z-buffer Antialiasing Method for Voxelized Implicit Surfaces (복셀로 표현된 임플리시트 곡면을 위한 시프트(shifted) 더블 Z-버퍼 앤티 앨리어싱)

  • 김학란;박화진
    • Journal of Korea Multimedia Society
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    • v.7 no.1
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    • pp.44-53
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    • 2004
  • This paper aims at presenting high quality at low resolution apply by a new antialiasing method for voxelized implicit surfaces. Implicit surfaces create a unique type of 3D-modeling. Some use of implicit surfaces are scientific and medical visualization, animation, medical simulation and interactive modeling. One of previous antialiasing methods for implicit surfaces presented by raytracing or texture mapping is making use of a stochastic sampling. But this method requires more calculation time and costs which is caused by complicated and difficult implicit functions. In the meanwhile, voxelized implicit surfaces generally use high resolution for good quality images but it costs to generate. In order to this problem, this paper suggests a shifted double Z-buffer which is very simple, more efficient and easy. Tn addition, there are applied box-filter and tent-filter to the double Z-buffer antialiasing method for better images. For results this method generate high quality image and it is easy to apply to various filters and is able to extend to multi Z-buffer.

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Study on Landslide using GIS and Remote Sensing at the Kangneung Area(II)-Landslide Susceptibility Mapping and Cross-Validation using the Probability Technique (GIS 및 원격탐사를 이용한 2002년 강릉지역 태풍 루사로 인한 산사태 연구(II)-확률기법을 이용한 강릉지역 산사태 취약성도 작성 및 교차 검증)

  • Lee Saro;Lee Moung-Jin;Won Joong-Sun
    • Economic and Environmental Geology
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    • v.37 no.5
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    • pp.521-532
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    • 2004
  • The aim of this study is to evaluate the susceptibility of landslides at Kangneung area, Korea, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified from interpretation of satellite image and field surveys. The topographic, soil, forest, geologic, lineament and land cover data were collected, processed and constructed into a spatial database using GIS and remote sensing data. Using frequency ratio model which is one of the probability model, the relationships between landslides and related factors such as slope, aspect, curvature and type of topography, texture, material, drainage and effective thickness of soil, type, age, diameter and density of wood, lithology, distance from lineament and land cover were calculated as frequency ratios. Then, the frequency ratio were summed to calculate a landslide susceptibility indexes and the landslide susceptibility maps were generated using the indexes. The results of the analysis were verified and cross-validated using actual landslide location data. The verification results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.

No-reference Image Blur Assessment Based on Multi-scale Spatial Local Features

  • Sun, Chenchen;Cui, Ziguan;Gan, Zongliang;Liu, Feng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4060-4079
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    • 2020
  • Blur is an important type of image distortion. How to evaluate the quality of blurred image accurately and efficiently is a research hotspot in the field of image processing in recent years. Inspired by the multi-scale perceptual characteristics of the human visual system (HVS), this paper presents a no-reference image blur/sharpness assessment method based on multi-scale local features in the spatial domain. First, considering various content has different sensitivity to blur distortion, the image is divided into smooth, edge, and texture regions in blocks. Then, the Gaussian scale space of the image is constructed, and the categorized contrast features between the original image and the Gaussian scale space images are calculated to express the blur degree of different image contents. To simulate the impact of viewing distance on blur distortion, the distribution characteristics of local maximum gradient of multi-resolution images were also calculated in the spatial domain. Finally, the image blur assessment model is obtained by fusing all features and learning the mapping from features to quality scores by support vector regression (SVR). Performance of the proposed method is evaluated on four synthetically blurred databases and one real blurred database. The experimental results demonstrate that our method can produce quality scores more consistent with subjective evaluations than other methods, especially for real burred images.

Construction of 3D Spatial Information about Cave by Terrestrial LiDAR (지상라이다에 의한 동굴의 3차원 공간정보 구축)

  • Kang, Joon-Mook;Lee, Jong-Sin;Won, Jae-Ho;Park, Joon Kyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.2
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    • pp.207-215
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    • 2010
  • There are two methods to survey the natural cave. One is plane table surveying and the other is recording chart surveying. The drawing maps drawn by these methods are 2D. Furthermore, it is difficult to figure out the accurate dimension about full sections and whole interior products because of use of plane table and recording chart. Accordingly, in this study, the 3D spatial information about Dangcheomuldonggul was constructed by the Terrestrial LiDAR and high resolution digital camera where is belong to Jeju Volcanic Island and Lava Tubes as the first World Natural Heritage of the Republic of Korea. Also, the utilization possibility of 3D spatial information was suggested to the basic data of deformation and change detection through structure analysis, section analysis, shape analysis, and interior products analysis.

A Study on Creation of 3D Facial Model Using Fitting by Edge Detection based on Fuzzy Logic (퍼지논리의 에지검출에 의한 정합을 이용한 3차원 얼굴모델 생성)

  • Lee, Hye-Jung;Kim, Ju-Ri;Joung, Suck-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.12
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    • pp.2681-2690
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    • 2010
  • This paper proposes 3D facial modeling system without using 3D scanner and camera or expensive software. This system enables efficient 3D facial modeling to cost reduction and effort saving for natural facial modeling. It detects edges of component of face using edge detection based on fuzzy logic from any 2D image of front face. It was mapped fitting position with 3D standard face model by detected edge more correctly. Also this system generates 3D face model more easily through floating and flexible control and texture mapping after fitting that connection of control point on detected edge from 2D image and mesh of 3D standard face model.

Development of 3D Simulation Systems for the 3D Visualization of University Campus Building Information (대학 캠퍼스 건물 정보의 입체적 가시화를 위한 3D 시뮬레이션 시스템의 개발)

  • Kim, Sung-Ho
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.327-333
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    • 2013
  • The campus has been composed of a very variety buildings. However, there is almost no easy way to see information about room number of each floor of the buildings and all buildings. For that reason, in this paper, we have developed a 3D simulation system for the 3D visualization of campus building information. Each building and cross section of floor was modeled in 3D based on the actual drawing. And texture mapping were using real photos. The user interface was divided into frames for menu and 3D viewer. When you select a building name from the menu, 3D viewer shows the selected building by zooming. And menu frame is shown the various information related to the building. Also when you select a room number of each floor, a separate web browser shows the cross section by VRML viewer. Conversely, when you click on the building in the 3D viewer, menu frame is shown the various information related to the building. This system is very useful in that provide realistic building information of campus.

A Study on the Analysis of Patent Information in the Apparel Design -Focused on International Patent Classification- (의류디자인 분야의 특허정보 분석 -국제특허분류를 중심으로-)

  • 이금희
    • The Research Journal of the Costume Culture
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    • v.11 no.6
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    • pp.835-851
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    • 2003
  • This study analyses patent information of apparel design using computer technology and researches the trend of patent application focused on International Patent Classification. In terms of trend by filling data, Patent application started first in 1974 and increased sharply in 1993 with 14 cases and increased to 25 cases in 2000. In case of Korea, they began somewhat late in 1996, but reached a similar level with the leading country in 2000. In terms of trend by applicant, Gerber Garment Technology, Inc. filed 7 cases TORAY IND INC, filed 6 cases Levi Strauss & Co. filed 4 cases, NEC HOME ELECTRONICS LTD filed 3 cases, TOYOBO CO LTD filed 3 cases. Japanese companies occupied 52% and United States's companies occupied 48%. In terms of trend by country, foreigner occupied 47% of the patents filed by United State. Japanese take up 10% of total patent of United States. Korean occupied 84% of total patent of Korea and foreigner, american occupied 16% of the patents filed by Korea. In regared to International Patent Classification, in the section level G filed 92 cases(53%). In class level, G06 marked the first place in United States, Japan, and Korea. In subclass level, G06F marksed the first place with 74 cases. G06T and A61B were regarded as the new technologies. The new technologies are representing the dimensions of garment or computer-rendered model, providing the virtual reality through the texture mapping, digital dressing room or virtual dressing, and performing or retriving display on a screen for the result of changing pattern ao dress design, The technologies of core patent are designing or producing custom manufactured item, providing or prealtering the data for pattern making and visually displaying, interactively generating or previewing of various articles.

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