IEEE Conference on Visual Analytics Science and Technology最新文献_第3页

VSim: Real-time Visualization of 3D Digital Humanities Content for Education and Collaboration 用于教育和协作的三维数字人文内容的实时可视化

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/129-135

E. Poyart, Lisa M. Snyder, Scott Friedman, P. Faloutsos

引用次数: 3

Dense 3D Point Cloud Generation from Multiple High-resolution Spherical Images 从多个高分辨率球面图像生成密集的3D点云

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/017-024

A. Pagani, C. Gava, Yan Cui, B. Krolla, Jean-Marc Hengen, D. Stricker

引用次数: 29

Automatic Coin Classification by Image Matching 基于图像匹配的自动硬币分类

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/065-072

S. Zambanini, M. Kampel

引用次数: 20

A Repository for Heterogeneous and Complex Digital Cultural Objects 异构和复杂的数字文化对象的存储库

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/081-087

A. Felicetti, F. Niccolucci

引用次数: 1

Real-time Rendering of Massive Unstructured Raw Point Clouds using Screen-space Operators 使用屏幕空间算子的大规模非结构化原始点云的实时渲染

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/105-112

R. Pintus, E. Gobbetti, Marco Agus

{"title":"Real-time Rendering of Massive Unstructured Raw Point Clouds using Screen-space Operators","authors":"R. Pintus, E. Gobbetti, Marco Agus","doi":"10.2312/VAST/VAST11/105-112","DOIUrl":"https://doi.org/10.2312/VAST/VAST11/105-112","url":null,"abstract":"Nowadays, 3D acquisition devices allow us to capture the geometry of huge Cultural Heritage (CH) sites, historical buildings and urban environments. We present a scalable real-time method to render this kind of models without requiring lengthy preprocessing. The method does not make any assumptions about sampling density or availability of normal vectors for the points. On a frame-by-frame basis, our GPU accelerated renderer computes point cloud visibility, fills and filters the sparse depth map to generate a continuous surface representation of the point cloud, and provides a screen-space shading term to effectively convey shape features. The technique is applicable to all rendering pipelines capable of projecting points to the frame buffer. To deal with extremely massive models, we integrate it within a multi-resolution out-of-core real-time rendering framework with small pre-computation times. Its effectiveness is demonstrated on a series of massive unstructured real-world Cultural Heritage datasets. The small precomputation times and the low memory requirements make the method suitable for quick onsite visualizations during scan campaigns.","PeriodicalId":168094,"journal":{"name":"IEEE Conference on Visual Analytics Science and Technology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36

Linking Evidence with Heritage Visualization using a large Scale Collaborative Interface 使用大规模协作界面将证据与遗产可视化联系起来

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/121-128

Kim Bale, D. Abbott, Ramy Gowigati, D. Pritchard, P. Chapman

{"title":"Linking Evidence with Heritage Visualization using a large Scale Collaborative Interface","authors":"Kim Bale, D. Abbott, Ramy Gowigati, D. Pritchard, P. Chapman","doi":"10.2312/VAST/VAST11/121-128","DOIUrl":"https://doi.org/10.2312/VAST/VAST11/121-128","url":null,"abstract":"The virtual reconstruction of heritage sites and artefacts is a complicated task that requires researchers to gather and assess many different types of historical evidence which can vary widely in accuracy, authority, completeness, interpretation and opinion. It is now acknowledged that elements of speculation, interpretation and subjectivity form part of 3D reconstruction using primary research sources. Ensuring transparency in the reconstruction process and therefore the ability to evaluate the purpose, accuracy and methodology of the visualization is of great importance. Indeed, given the prevalence of 3D reconstruction in recent heritage research, methods of managing and displaying reconstructions alongside their associated metadata and sources has become an emerging area of research. In this paper, we describe the development of techniques that allow research sources to be added as multimedia annotations to a 3D reconstruction of the British Empire Exhibition of 1938. By connecting a series of wireless touchpad PCs with an embedded webserver we provide users with a unique collaborative interface for semantic description and placement of objects within a 3D scene. Our interface allows groups of users to simultaneously create annotations, whilst also allowing them to move freely within a large display visualization environment. The development of a unique, life-size, stereo visualization of this lost architecture with spatialised semantic annotations enhances not only the engagement with and understanding of this significant event in history, but the accountability of the research process itself.","PeriodicalId":168094,"journal":{"name":"IEEE Conference on Visual Analytics Science and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129327059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Reconstructing and Exploring Massive Detailed Cityscapes 重建和探索大量详细的城市景观

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/001-008

E. Gobbetti, F. Marton, Marco Di Benedetto, F. Ganovelli, Matthias Bühler, S. Schubiger-Banz, M. Specht, C. Engels, L. Gool

引用次数: 1

A Methodology for the Physically Accurate Visualisation of Roman Polychrome Statuary 罗马彩色雕像物理精确可视化的方法

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/137-144

Gareth Beale, G. Earl

{"title":"A Methodology for the Physically Accurate Visualisation of Roman Polychrome Statuary","authors":"Gareth Beale, G. Earl","doi":"10.2312/VAST/VAST11/137-144","DOIUrl":"https://doi.org/10.2312/VAST/VAST11/137-144","url":null,"abstract":"This paper describes the design and implementation of a methodology for the visualisation and hypothetical virtual reconstruction of Roman polychrome statuary for research purposes. The methodology is intended as an attempt to move beyond visualisations which are simply believable towards a more physically accurate approach. Accurate representations of polychrome statuary have great potential utility both as a means of illustrating existing interpretations and as a means of testing and revising developing hypotheses. The goal of this methodology is to propose a pipeline which incorporates a high degree of physical accuracy whilst also being practically applicable in a conventional archaeological research setting. The methodology is designed to allow the accurate visualisation of surviving objects and colourants as well as providing reliable methods for the hypothetical reconstruction of elements which no longer survive. The process proposed here is intended to limit the need for specialist recording equipment, utilising existing data and those data which can be collected using widely available technology. It is at present being implemented as part of the 'Statues in Context' project at Herculaneum and will be demonstrated here using the case study of a small area of the head of a painted female statue discovered at Herculaneum in 2006.","PeriodicalId":168094,"journal":{"name":"IEEE Conference on Visual Analytics Science and Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128563152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

WebGL-based Streaming and Presentation Framework for Bidirectional Texture Functions 基于webgl的双向纹理函数流和表示框架

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/113-120

Christopher Schwartz, R. Ruiters, Michael Weinmann, R. Klein

引用次数: 19

Point Cloud Segmentation for Cultural Heritage Sites 文物遗址点云分割

IEEE Conference on Visual Analytics Science and Technology Pub Date : 2011-10-18 DOI: 10.2312/VAST/VAST11/041-048

Sandro Spina, K. Debattista, Keith Bugeja, A. Chalmers

{"title":"Point Cloud Segmentation for Cultural Heritage Sites","authors":"Sandro Spina, K. Debattista, Keith Bugeja, A. Chalmers","doi":"10.2312/VAST/VAST11/041-048","DOIUrl":"https://doi.org/10.2312/VAST/VAST11/041-048","url":null,"abstract":"Over the past few years, the acquisition of 3D point information representing the structure of real-world objects has become common practice in many areas. This is particularly true in the Cultural Heritage (CH) domain, where point clouds reproducing important and usually unique artifacts and sites of various sizes and geometric complexities are acquired. Specialized software is then usually used to process and organise this data. This paper addresses the problem of automatically organising this raw data by segmenting point clouds into meaningful subsets. This organisation over raw data entails a reduction in complexity and facilitates the post-processing effort required to work with the individual objects in the scene. This paper describes an efficient two-stage segmentation algorithm which is able to automatically partition raw point clouds. Following an intial partitioning of the point cloud, a RanSaC-based plane fitting algorithm is used in order to add a further layer of abstraction. A number of potential uses of the newly processed point cloud are presented; one of which is object extraction using point cloud queries. Our method is demonstrated on three point clouds ranging from 600K to 1.9M points. One of these point clouds was acquired from the pre-historic temple of Mnajdra consistsing of multiple adjacent complex structures.","PeriodicalId":168094,"journal":{"name":"IEEE Conference on Visual Analytics Science and Technology","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13