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检索条件"任意字段=36th Annual Conference on Computer Graphics and Visual Computing, CGVC 2018"

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Single image watermark retrieval from 3d printed surfaces via convolutional neural networks 36

Single image watermark retrieval from 3d printed surfaces vi...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Zhang, Xin Wang, Qian Ivrissimtzis, Ioannis Department of Computer Science Durham University United Kingdom

ISBN: (纸本)9783038680710

In this paper we propose and analyse a method for watermarking 3D printed objects, concentrating on the watermark retrieval problem. the method embeds the watermark in a planar region of the 3D printed object in the form of small semi-spherical or cubic bumps arranged at the nodes of a regular grid. the watermark is extracted from a single image of the watermarked planar region through a Convolutional Neural Network. Experiments with 3D printed objects, produced by filaments of various colours, show that in most cases the retrieval method has a high accuracy rate. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Watermarking

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computer graphics and visual computing, cgvc 2018

Computer Graphics and Visual Computing, CGVC 2018

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36th annual conference on computer graphics and visual computing, cgvc 2018

ISBN: (纸本)9783038680710

the proceedings contain 22 papers. the topics discussed include: topological connected chain modeling for classification of mammographic microcalcification;combining accumulated frame differencing and corner detection for motion detection;groupwise non-rigid image alignment with graph-based initialization;keys-to-sim: transferring hand-crafted key-framed animations to simulated figures using wide band stochastic trajectory optimization;image based proximate shadow retargeting;GPU-assisted scatterplots for millions of call events;RiverState: a visual metaphor representing millions of time-oriented state transitions;towards a survey of interactive visualization for education;image inpainting for high-resolution textures using CNN texture synthesis;and segmenting teeth from volumetric ct data with a hierarchical CNN-based approach.

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A deep learning approach to no-reference image quality assessment for Monte Carlo rendered images 36

A deep learning approach to no-reference image quality asses...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Whittle, J. Jones, M.W. Swansea University Department of Computer Science United Kingdom

ISBN: (纸本)9783038680710

In Full-Reference Image Quality Assessment (FR-IQA) images are compared with ground truth images that are known to be of high visual quality. these metrics are utilized in order to rank algorithms under test on their image quality performance. throughout the progress of Monte Carlo rendering processes we often wish to determine whether images being rendered are of sufficient visual quality, without the availability of a ground truth image. In such cases FR-IQA metrics are not applicable and we instead must utilise No-Reference Image Quality Assessment (NR-IQA) measures to make predictions about the perceived quality of unconverged images. In this work we propose a deep learning approach to NR-IQA, trained specifically on noise from Monte Carlo rendering processes, which significantly outperforms existing NR-IQA methods and can produce quality predictions consistent with FR-IQA measures that have access to ground truth images. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Image quality

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Spectrum: A C++ header library for colour map management 36

Spectrum: A C++ header library for colour map management

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Roberts, Richard C. McNabb, Liam AlHarbi, Naif Laramee, Robert S. Visual and Interactive Computer Group Swansea University Swansea United Kingdom

ISBN: (纸本)9783038680710

the use of colour mapping is fundamental to visualisation research. It acts as an additional layer beyond rendering in the spatial dimensions and provides a link between values in any dataset. When designing and building visualisation research software, the process of creating and managing a colour mapping system can be time-consuming and complex. Existing alternatives offer niche features and require complex dependencies or installations. We present Spectrum;an open source colour map management library that is developer friendly with no installation required, and that offers a wide variety of features for the majority of use cases. We demonstrate the utility of the library through simple snippets of code and a number of examples which illustrate its ease of use and functionality, as well as a video demonstrating the installation and use of the library in under two minutes. It is a very valuable jump-start tool for developers and researchers who need to focus on other tasks. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Mapping

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Topological connected chain modelling for classification of mammographic microcalcification 36

Topological connected chain modelling for classification of ...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： George, M. Denton, E.R.E. Zwiggelaar, R. Department of Computer Science Aberystwyth University AberystwythSY23 3DB United Kingdom Department of Breast Imaging Norfolk and Norwich University Hospital NorwichNR4 7UY United Kingdom

ISBN: (纸本)9783038680710

Breast cancer continues to be the most common type of cancer among women. Early detection of breast cancer is key to effective treatment. the presence of clusters of fine, granular microcalcifications in mammographic images can be a primary sign of breast cancer. the malignancy of any cluster of microcalcification cannot be reliably determined by radiologists from mammographic images and need to be assessed through histology images. In this paper, a novel method of mammographic microcalcification classification is described using the local topological structure of microcalcifications. Unlike the statistical and texture features of microcalcifications, the proposed method focuses on the number of microcalcifications in local clusters, the distance between them, and the number of clusters. the initial evaluation on the Digital Database for Screening Mammography (DDSM) database shows promising results with 86% accuracy and findings which are in line with clinical perception of benign and malignant morphological appearance of microcalcification clusters. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Textures

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Towards a survey of interactive visualization for education 36

Towards a survey of interactive visualization for education

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Fırat, Elif E. Laramee, Robert S. Department of Computer Science Swansea University Wales United Kingdom

ISBN: (纸本)9783038680710

Graphic design and visualization are becoming fundamental components of education. the use of advanced visual design in pedagogy is growing and evolving rapidly. One of their aims is to enhance the educational process by facilitating better understanding of the subject with the use of graphical representation methods. Research papers in this field offer important opportunities to examine previously completed experiments and extract useful educational outcomes. this paper analyzes and classifies pedagogical visualization research papers to increase understanding in this area. To our knowledge, this is the first (work-in-progress) survey paper on advanced visualization for education. We categorize related research papers into original subject groups that enable researchers to compare related literature. Our novel classification enables researchers to find both mature and unexplored directions which can inform directions for future work. this paper serves as a valuable resource for both beginners and experienced researchers who are interested in interactive visualization for education. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Surveys

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When size matters: Towards evaluating perceivability of choropleths 36

When size matters: Towards evaluating perceivability of chor...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： McNabb, Liam Laramee, Robert S. Wilson, Max Visual and Interactive Computing Group Swansea University United Kingdom School of Computer Science University of Nottingham United Kingdom

ISBN: (纸本)9783038680710

Choropleth maps are an invaluable visualization type for mapping geo-spatial data. One advantage to a choropleth map over other geospatial visualizations such as cartograms is the familiarity of a non-distorted landmass. However, this causes challenges when an area becomes too small in order to accurately perceive the underlying color. When does size matter in a choropleth map? We conduct an experiment to verify the relationship between choropleth maps, their underlying color map, and a user’s perceivability. We do this by testing a user’s perception of color relative to an administrative area’s size within a choropleth map, as well as user-preference of fixed-locale maps with enforced minimum areas. Based on this initial experiment we can make the first recommendations with respect to a unit area’s minimum size in order to be perceivably useful. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Color

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SoS TextVis: A survey of surveys on text visualization 36

SoS TextVis: A survey of surveys on text visualization

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Alharbi, Mohammad Laramee, Robert S. Department of Computer Science Swansea University United Kingdom

ISBN: (纸本)9783038680710

Text visualization is a rapidly growing sub-field of information visualization and visual analytics. there are many approaches and techniques introduced every year to address a wide range of tasks and enable researchers from different disciplines to obtain leading-edge knowledge from digitized collections. this can be challenging particularly when the data is massive. Additionally, the sources of digital text have spread substantially in the last decades in various forms, such as web pages, blogs, twitter, email, electronic publications, and books. In response to the explosion of text visualization research literature, the first survey article was published in 2010. Furthermore, there are a growing number of surveys that review existing techniques and classify them based on text research methodology. In this work, we aim to present the first Survey of Surveys (SoS) that review all of the survey and state-of-the-art papers on text visualization techniques and provide an SoS classification. We study and compare the surveys, and categorize them into 5 groups: (1) document-centered, (2) user task analysis, (3) cross-disciplinary, (4) multifaceted, and (5) satellite-themed. We provide survey recommendations for researchers in the field of text visualization. the result is a very unique, valuable starting point and overview of the current state-of-the-art in text visualization research literature. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Surveys

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RiverState: A visual metaphor representing millions of time-oriented state transitions 36

RiverState: A visual metaphor representing millions of time-...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Roberts, Richard C. Rees, Dylan Laramee, Robert S. Brookes, Paul Smith, Gary A. Computer Science Swansea University Swansea United Kingdom QPC Labs QPC Ltd Harlech Building Theatre Clwyd Complex Mold Flintshire United Kingdom

ISBN: (纸本)9783038680710

Developing a positive relationship between a business and its customers is vital to success. the outcome of any customer interaction can determine future patronage of the business. Many industry’s only point of interaction with their customers is through a contact centre where everything from sales to complaints are handled. this places tremendous importance on the operational efficiency of the contact centre and the level of care provided to the customers. these customer interactions are recorded and archived in large databases, but undertaking insightful analysis is challenging due to both the size and complexity of the data. We present a visual solution to the tracking of customer interactions at a large scale. RiverState visualises the collective flow of callers through the process of interacting with a contact centre using a river metaphor. We use finite state transition machines with customised edges to depict millions of events and the states callers go through to complete their journey. We implement a range of novel features to enhance the analytical qualities of the application, and collect feedback from domain experts to analyse and evaluate the use of the software. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Sales

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Groupwise non-rigid image alignment with graph-based initialisation 36

Groupwise non-rigid image alignment with graph-based initial...

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36th annual conference on computer graphics and visual computing, cgvc 2018

作者： Aal-Yhia, A. Malcolm, P. Akanyeti, O. Zwiggelaar, R. Tiddeman, B. Department of Computer Science Aberystwyth University AberystwythSY23 3DB United Kingdom Post-Graduate Institute for Accounting and Financial Studies University of Baghdad Baghdad Iraq Department of Radiology Norfolk Norwich University Hospital NorwichNR4 7UY United Kingdom

ISBN: (纸本)9783038680710

Groupwise image alignment automatically provides non-rigid registration across a set of images. It has found applications in facial image analysis and medical image analysis by automatically generating statistical models of shape and appearance. the main approaches used previously include iterative and graph-based approaches. In iterative approaches, the registration of each image is iteratively updated to minimise an error measure across the set. Various metrics and optimisation strategies have been proposed to achieve this. Graph-based methods perform registration of each pair of images in the set, to form a weighted graph of the "distance" between all the images, and then finds the optimal paths between the most central image and every other image. In this paper, we use a graph-based approach to perform initialisation, which is then refined with an iterative approach. Pairwise registration is performed using demons registration, then shortest paths identified in the resulting graph are used to provide an initial warp for each image by concatenating warps along the path. the warps are refined using an iterative Levenberg-Marquardt minimisation to the mean, based on updating the locations of a small number of points and incorporating a stiffness constraint. this optimisation approach is efficient, has very few free parameters to tune and we show how to tune the few remaining parameters. We compare the combined approach to both the iterative and graph-based approaches used independently. Results demonstrate that the combined method improves the alignment of various datasets, including two face datasets and a difficult medical dataset of prostate MRI images. © 2018 the Author(s) Eurographics Proceedings © 2018 the Eurographics Association.

关键词： Image analysis

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