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    3D Sketching for Interactive Model Retrieval in Virtual Reality

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    Date
    2018
    Author
    Giunchi, Daniele
    James, Stuart
    Steed, Anthony
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    Abstract
    We describe a novel method for searching 3D model collections using free-form sketches within a virtual environment as queries. As opposed to traditional sketch retrieval, our queries are drawn directly onto an example model. Using immersive virtual reality the user can express their query through a sketch that demonstrates the desired structure, color and texture. Unlike previous sketch-based retrieval methods, users remain immersed within the environment without relying on textual queries or 2D projections which can disconnect the user from the environment. We perform a test using queries over several descriptors, evaluating the precision in order to select the most accurate one. We show how a convolutional neural network (CNN) can create multi-view representations of colored 3D sketches. Using such a descriptor representation, our system is able to rapidly retrieve models and in this way, we provide the user with an interactive method of navigating large object datasets. Through a user study we demonstrate that by using our VR 3D model retrieval system, users can perform search more quickly and intuitively than with a naive linear browsing method. Using our system users can rapidly populate a virtual environment with specific models from a very large database, and thus the technique has the potential to be broadly applicable in immersive editing systems.
    BibTeX
    @inproceedings {10.1145:3229147.3229166,
    booktitle = {Expressive: Computational Aesthetics, Sketch-Based Interfaces and Modeling, Non-Photorealistic Animation and Rendering},
    editor = {Aydın, Tunç and Sýkora, Daniel},
    title = {{3D Sketching for Interactive Model Retrieval in Virtual Reality}},
    author = {Giunchi, Daniele and James, Stuart and Steed, Anthony},
    year = {2018},
    publisher = {ACM},
    ISSN = {2079-8679},
    ISBN = {978-1-4503-5892-7},
    DOI = {10.1145/3229147.3229166}
    }
    URI
    https://doi.org/10.1145/3229147.3229166
    https://diglib.eg.org:443/handle/10.1145/3229147-3229166
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA