1,733 research outputs found

    Data-Driven Shape Analysis and Processing

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    Data-driven methods play an increasingly important role in discovering geometric, structural, and semantic relationships between 3D shapes in collections, and applying this analysis to support intelligent modeling, editing, and visualization of geometric data. In contrast to traditional approaches, a key feature of data-driven approaches is that they aggregate information from a collection of shapes to improve the analysis and processing of individual shapes. In addition, they are able to learn models that reason about properties and relationships of shapes without relying on hard-coded rules or explicitly programmed instructions. We provide an overview of the main concepts and components of these techniques, and discuss their application to shape classification, segmentation, matching, reconstruction, modeling and exploration, as well as scene analysis and synthesis, through reviewing the literature and relating the existing works with both qualitative and numerical comparisons. We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing.Comment: 10 pages, 19 figure

    Data-driven shape analysis and processing

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    Data-driven methods serve an increasingly important role in discovering geometric, structural, and semantic relationships between shapes. In contrast to traditional approaches that process shapes in isolation of each other, data-driven methods aggregate information from 3D model collections to improve the analysis, modeling and editing of shapes. Through reviewing the literature, we provide an overview of the main concepts and components of these methods, as well as discuss their application to classification, segmentation, matching, reconstruction, modeling and exploration, as well as scene analysis and synthesis. We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing

    Picture the Music: Performing Arts Library Planning with Photo Elicitation

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    Photo elicitation, a form of ethnographic journaling, provided insights into university music and dance student needs in library and campus spaces and services. In this case study, subjects took a photo for each of twenty prompts related to their daily lives as students and performing artists, then discussed their own photos in a one-hour individual interview. Researchers qualitatively analyzed the gathered data. This article reports findings related to: discovering and obtaining music and dance works, study spaces and sound levels, forces of habit and the implications for student library use, and library-related findings regarding practice rooms and classrooms

    SLIS Connecting Volume 7 Issue 1

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    SLIS Connecting refereed open-access e-journal, Volume 7, Issue 1 (Spring/Summer 2018, Special Issue: British Studies

    The Rock, Winter 2009 (vol. 79, no. 2)

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    https://poetcommons.whittier.edu/rock/1192/thumbnail.jp

    Increasing Cultural Participation: An Audience Development Planning Handbook for Presenters, Producers and Their Collaborators

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    Looks at how people-centered strategies for building public participation in high-quality arts programs can help institutions of varied disciplines and sizes to diversify, broaden, and deepen relationships with their communities

    2016 - The Twenty-first Annual Symposium of Student Scholars

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    The full program book from the Twenty-first Annual Symposium of Student Scholars, held on April 21, 2016. Includes abstracts from the presentations and posters.https://digitalcommons.kennesaw.edu/sssprograms/1015/thumbnail.jp
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