• Title/Summary/Keyword: Projection Mapping

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A Study on the Method of Creating Realistic Content in Audience-participating Performances using Artificial Intelligence Sentiment Analysis Technology (인공지능 감정분석 기술을 이용한 관객 참여형 공연에서의 실감형 콘텐츠 생성 방식에 관한 연구)

  • Kim, Jihee;Oh, Jinhee;Kim, Myeungjin;Lim, Yangkyu
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.533-542
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    • 2021
  • In this study, a process of re-creating Jindo Buk Chum, one of the traditional Korean arts, into digital art using various artificial intelligence technologies was proposed. The audience's emotional data, quantified through artificial intelligence language analysis technology, intervenes in various object forms in the projection mapping performance and affects the big story without changing it. If most interactive arts express communication between the performer and the video, this performance becomes a new type of responsive performance that allows the audience to directly communicate with the work, centering on artificial intelligence emotion analysis technology. This starts with 'Chuimsae', a performance that is common only in Korean traditional art, where the audience directly or indirectly intervenes and influences the performance. Based on the emotional information contained in the performer's 'prologue', it is combined with the audience's emotional information and converted into the form of images and particles used in the performance to indirectly participate and change the performance.

A study on the transformation of coordinate on TM projection (TM투영에서의 좌표변환에 관한 연구)

  • 조규전
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.14 no.2
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    • pp.119-126
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    • 1996
  • TM projection is widely used for surveying and mapping. However, the complicated computations and process are required and, moreover. the different results of computation may occur according to different formulae and coefficients. In this study, the transformation formulae are classified into 4 categories and the computations are executed according to the categories. The computations are also made to different value of the circular constant, $\pi$. The result of test shows that the enough number of items in formular have to be used for precise computation and the circular constant has to calculate down the 13 places of decimals in order to obtain the precision of 1mm on the ground scale.

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A study on high dimensional large-scale data visualization (고차원 대용량 자료의 시각화에 대한 고찰)

  • Lee, Eun-Kyung;Hwang, Nayoung;Lee, Yoondong
    • The Korean Journal of Applied Statistics
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    • v.29 no.6
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    • pp.1061-1075
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    • 2016
  • In this paper, we discuss various methods to visualize high dimensional large-scale data and review some issues associated with visualizing this type of data. High-dimensional data can be presented in a 2-dimensional space with a few selected important variables. We can visualize more variables with various aesthetic attributes in graphics or use the projection pursuit method to find an interesting low-dimensional view. For large-scale data, we discuss jittering and alpha blending methods that solve any problem with overlapping points. We also review the R package tabplot, scagnostics, and other R packages for interactive web application with visualization.

An improved parametric formulation for the variationally correct distortion immune three-noded bar element

  • Mukherjee, Somenath;Manju, S.
    • Structural Engineering and Mechanics
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    • v.38 no.3
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    • pp.261-281
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    • 2011
  • A new method of formulation of a class of elements that are immune to mesh distortion effects is proposed here. The simple three-noded bar element with an offset of the internal node from the element center is employed here to demonstrate the method and the principles on which it is founded upon. Using the function space approach, the modified formulation is shown here to be superior to the conventional isoparametric version of the element since it satisfies the completeness requirement as the metric formulation, and yet it is in agreement with the best-fit paradigm in both the metric and the parametric domains. Furthermore, the element error is limited to only those that are permissible by the classical projection theorem of strains and stresses. Unlike its conventional counterpart, the modified element is thus not prone to any errors from mesh distortion. The element formulation is symmetric and thus satisfies the requirement of the conservative nature of problems associated with all self-adjoint differential operators. The present paper indicates that a proper mapping set for distortion immune elements constitutes geometric and displacement interpolations through parametric and metric shape functions respectively, with the metric components in the displacement/strain replaced by the equivalent geometric interpolation in parametric co-ordinates.

Proposal and Implementation of Intelligent Omni-directional Video Analysis System (지능형 전방위 영상 분석 시스템 제안 및 구현)

  • Jeon, So-Yeon;Heo, Jun-Hak;Park, Goo-Man
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.850-853
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    • 2017
  • In this paper, we propose an image analysis system based on omnidirectional image and object tracking image display using super wide angle camera. In order to generate spherical images, the projection process of converting from two wide-angle images to the equirectangular panoramic image was performed and the spherical image was expressed by converting rectangular to spherical coordinate system. Object tracking was performed by selecting the desired object initially, and KCF(Kernelized Correlation Filter) algorithm was used so that robust object tracking can be performed even when the object's shape is changed. In the initial dialog, the file and mode are selected, and then the result is displayed in the new dialog. If the object tracking mode is selected, the ROI is set by dragging the desired area in the new window.

DEM Generation from IKONOS Imagery by Using Parallel Projection Model (평행투영모형에 의한 IKONOS 위성영상의 수치고도모형 생성)

  • Kim, Eui-Myoung;Kim, Seong-Sam;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.1 s.31
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    • pp.55-61
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    • 2005
  • Digital Elevation Model (DEM) generation from remotely sensed imagery is crucial for a variety of mapping applications such as ortho-photo generation, city modeling. High resolution imaging satellites such as SPOT-5, IKONOS, QUICK-BIRD, ORBVIEW constitute an excellent source for efficient and economic generation of DEM data. However, prerequisite knowledge in the areas of sensor modeling, epipolar resampling, and image matching is required to generate DEM from these high resolution satellite imagery. From the above requirements, epipolar resampling emerges as the most important factors. Research attempts in this area are still in high demand and short supply. Another cause that adds to the complication of the problem is that most studies of DEM generation from IKONOS scenes have been based on rational function model. In this paper, we proposed a new methodology for DEM generation from satellite scenes using parallel projection model which is sensor independent, makes it possible for sensor modeling and epipolar resampling by only few control points. The performance and feasibility of the developed methodology is evaluated through real dataset captured by IKONOS.

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Multi-Focusing Image Capture System for 3D Stereo Image (3차원 영상을 위한 다초점 방식 영상획득장치)

  • Ham, Woon-Chul;Kwon, Hyeok-Jae;Enkhbaatar, Tumenjargal
    • The Journal of Korea Robotics Society
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    • v.6 no.2
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    • pp.118-129
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    • 2011
  • In this paper, we suggest a new camera capturing and synthesizing algorithm with the multi-captured left and right images for the better comfortable feeling of 3D depth and also propose 3D image capturing hardware system based on the this new algorithm. We also suggest the simple control algorithm for the calibration of camera capture system with zooming function based on a performance index measure which is used as feedback information for the stabilization of focusing control problem. We also comment on the theoretical mapping theory concerning projection under the assumption that human is sitting 50cm in front of and watching the 3D LCD screen for the captured image based on the modeling of pinhole Camera. We choose 9 segmentations and propose the method to find optimal alignment and focusing based on the measure of alignment and sharpness and propose the synthesizing fusion with the optimized 9 segmentation images for the best 3D depth feeling.

Possibility for Extending an Interaction by Multi-User on MediaFacade Environments (미디어파사드 환경에서 다중 관람자에 의한 인터랙션 확장가능성)

  • Jang, Seung-Eun;Kim, Sang-Wook
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.48-56
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    • 2012
  • The interaction using digital media has been widely utilized in modern art. In particular, network based digital media enables two-way and real-time communication regardless of time and place. Network is possible to connect to effective and meaningful communication of extended relationship. This study proposes novel human-MediaFacade interaction method through a mechanism on interworking between 3D mapping technology and social media, smart devices. This study has an important meaning which can be set multi-user interaction. And a study of creating 'Facade' which interaction has high artistic value.

Prediction of Long-term Runoff for Hapcheon Dam Watershed through Multi-Artificial Neural Network Downscaling of KMA's RCM (기상청 RCM전망의 다지점 인공신경망 상세화를 통한 합천댐 유역의 장기유출 전망)

  • Kang, Boo-Sik;Moon, Su-Jin;Kim, Jung-Joong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.948-948
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    • 2012
  • 합천댐유역에 대한 기후변화에 따른 수문학적 영향을 정량적으로 분석하기 위해, 기상청에서 제공하는 공간해상도 27km의 MM5 RCM(Regional Climate Model)을 사용하였다. RCM의 기상변수들은 공간적 스케일의 상이성과 RCM 기후변수들의 불확실성 때문에 유출모형인 SWAT의 입력자료로 사용하기에는 어려움이 있다. 특히, RCM 변수들 중 강수량의 경우 한반도 지역의 6월과 10월 사이에 연강수량의 67%이상이 집중되는 계절성을 반영하지 못하고 있는 실정이기 때문에 국내 유역의 유출량 산정에 사용하기 위해서는 지역적 상세화(Downscaling)가 필요하다. 본 연구에서는 RCM 기후변수에 내포된 공간적 스케일의 상이성과 불확실성을 최소화하기 위해 강우관측소 지점을 단위로 한 다지점 인공신경망 기법을 적용하여 강수량, 습도, 최고기온 및 최저기온에 대한 상세화를 실시하였다. 강수의 경우 여름철 태풍사상을 모의하기 위한 Stochastic Typhoon Simulation기법과 Baseline(1991~2010)과 Projection(2011~2100) 사이의 강수량 보정을 위한 Dynamic Quantile Mapping 기법을 적용하여, 강수량의 불확실성을 최소화 하고자 하였다. 상세화된 기후자료를 이용한 SWAT 모형의 일(Daily) 단위 강우-유출 모의결과를 2011~2040년, 2041~2070년, 2071~2100년으로 구분하여 추세분석을 실시하였다.

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Projection of Future Changes in Drought Characteristics in Korea Peninsula Using Effective Drought Index (유효가뭄지수(EDI)를 이용한 한반도 미래 가뭄 특성 전망)

  • Gwak, Yongseok;Cho, Jaepil;Jung, Imgook;Kim, Dowoo;Jang, Sangmin
    • Journal of Climate Change Research
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    • v.9 no.1
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    • pp.31-45
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    • 2018
  • This study implemented the prediction of drought properties (number of drought events, intensity, duration) using the user-oriented systematical procedures of downscaling climate change scenarios based the multiple global climate models (GCMs), AIMS (APCC Integrated Modeling Solution) program. The drought properties were defined and estimated with Effective Drought Index (EDI). The optimal 10 models among 29 GCMs were selected, by the estimation of the spatial and temporal reproducibility about the five climate change indices related with precipitation. In addition, Simple Quantile Mapping (SQM) as the downscaling technique is much better in describing the observed precipitation events than Spatial Disaggregation Quantile Delta Mapping (SDQDM). Even though the procedure was systematically applied, there are still limitations in describing the observed spatial precipitation properties well due to the offset of spatial variability in multi-model ensemble (MME) analysis. As a result, the farther into the future, the duration and the number of drought generation will be decreased, while the intensity of drought will be increased. Regionally, the drought at the central regions of the Korean Peninsula is expected to be mitigated, while that at the southern regions are expected to be severe.