• Title/Summary/Keyword: 가시화 기법

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Bandwidth-Effective Rendering Scheme for 3D Texture-based Volume Visualization on GPU (3차원 텍스쳐 기반 볼륨 가시화를 위한 GPU 대역폭 효과적인 렌더링 기법)

  • Lee Won-Jong;Han Tack-Don
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.673-675
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    • 2005
  • 본 논문은 3차원 텍스쳐 기반의 볼륨 가시화를 위한 GPU 대역폭에 효과적인 렌더링 기법을 제안한다. 전처리 과정에서 옥트리를 이용하여 원본 볼륨 데이터를 계층적으로 균일한 크기로 분할하여 실제 영역만을 효과적으로 검출하게 되고, 렌더링 시에는 가시순서에 따라 옥트리를 탐색하며 리프 노드의 각 부볼륨을 텍스쳐 매핑 유닛에서 처리하고 블렌딩 유닛에서 이를 합성한다. 작은 크기($16^3$ 또는 $32^3$)의 부볼륨 처리는 텍스쳐와 픽셀 캐시의 이용율을 높이고 공백 공간 생략을 가용하게 하여 GPU의 메모리 대역폭을 크게 줄여 렌더링을 가속할 수 있다. 제안하는 기법의 캐시 효율, 메모리 트래픽, 렌더링 시간 등 다양한 실험 결과와 성능분석이 제공된다. 실험 결과는 제안하는 기 법이 전통적인 렌더링 방법에 비해 평균 11배의 대역폭 감소와 3배 빠른 렌더링을 가능하게 하여 GPU를 이용한 볼륨 렌더링에 효과적인 방법임을 보여주었다.

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A Visualization Method of Spatial Information based on Web Map Service (웹 지도 기반의 공간정보 가시화 기법)

  • Kim, Min-Gyu;Lee, Moo-Hun
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.209-216
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    • 2016
  • In these days, considering the trend to make various information blended based on spatial information like road, buildings and geography, it is to be very important to visualize maps for showing the information efficiently. However, geometry which is composed with line, polygon commonly used on web service has limitation to express information by limit of usage as well as spending certain time to show the information via map. That's why this study develops the efficient way to visualize huge and complex spatial information. This way is to bring partial space with spatial query, and then query and expand information excluded the former area after detecting movement event based on client. When the way is implemented, it will be expected to make efficient visualization in entire system by not bringing unnecessary information but shortening spending time to show area because it just shows areas which clients want to see.

Dynamic Parameter Visualization and Noise Suppression Techniques for Contrast-Enhanced Ultrasonography (조영증강 초음파진단을 위한 동적 파라미터 가시화기법 및 노이즈 개선기법)

  • Kim, Ho-Joon
    • Journal of KIISE
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    • v.42 no.7
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    • pp.910-918
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    • 2015
  • This paper presents a parameter visualization technique to overcome the limitation of the naked eye in contrast-enhanced ultrasonography. A method is also proposed to compensate for the distortion and noise in ultrasound image sequences. Meaningful parameters for diagnosing liver disease can be extracted from the dynamic patterns of the contrast enhancement in ultrasound images. The visualization technique can provide more accurate information by generating a parametric image from the dynamic data. Respiratory motions and noise from micro-bubble in ultrasound data may cause a degradation of the reliability of the diagnostic parameters. A multi-stage algorithm for respiratory motion tracking and an image enhancement technique based on the Markov Random Field are proposed. The usefulness of the proposed methods is empirically discussed through experiments by using a set of clinical data.

Implementation of public data contents using Big data Visualization technology - Map visualization technique (빅 데이터 가시화 기술을 적용한 공공데이터 콘텐츠 구현 - Map가시화 기법)

  • Bak, Seon-Hui;Kim, Jong Ho;You, Hyun-Bea
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1427-1434
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    • 2017
  • Due to the acceleration of the 4th industrialization, the data around us rapidly increased. Therefore, it is necessary to be able to more easily grasp the nature and meaning of data obtained through data analysis than to collect data, and apply it flexibly to the value judgment of data. Visualization technology is now attracting attention in many fields. Visualization allows the user to more easily grasp the information of the data with graphs, charts, etc. so that the data analysis result can be understood more easily, so that the user can make an immediate judgment and make a quick decision. Among them, there is a high degree of interest in visualization using public data, which is highly useful to users. In this paper, we implemented R - library and R Studio to visualize public data at the installation sites of bicycle storage sites among various software that can express visualization.

Efficient Parallel Visualization of Large-scale Finite Element Analysis Data in Distributed Parallel Computing Environment (분산 병렬 계산환경에 적합한 초대형 유한요소 해석 결과의 효율적 병렬 가시화)

  • Kim, Chang-Sik;Song, You-Me;Kim, Ki-Ook;Cho, Jin-Yeon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.32 no.10
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    • pp.38-45
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    • 2004
  • In this paper, a parallel visualization algorithm is proposed for efficient visualization of the massive data generated from large-scale parallel finite element analysis through investigating the characteristics of parallel rendering methods. The proposed parallel visualization algorithm is designed to be highly compatible with the characteristics of domain-wise computation in parallel finite element analysis by using the sort-last-sparse approach. In the proposed algorithm, the binary tree communication pattern is utilized to reduce the network communication time in image composition routine. Several benchmarking tests are carried out by using the developed in-house software, and the performance of the proposed algorithm is investigated.