Proceedings: GI 2017

Collaborative 3D Modeling by the Crowd

Ryohei Suzuki (The University of Tokyo), Takeo Igarashi (The University of Tokyo)

Proceedings of Graphics Interface 2017: Edmonton, Alberta, 16-19 May 2017, 124 - 131

DOI 10.20380/GI2017.16

  • Bibtex

    @inproceedings{Suzuki:2017:10.20380/GI2017.16,
    author = {Suzuki, Ryohei and Igarashi, Takeo},
    title = {Collaborative 3D Modeling by the Crowd},
    booktitle = {Proceedings of Graphics Interface 2017},
    series = {GI 2017},
    year = {2017},
    issn = {0713-5424},
    isbn = {978-0-9947868-2-1},
    location = {Edmonton, Alberta},
    pages = {124 -- 131},
    numpages = {8},
    doi = {10.20380/GI2017.16},
    publisher = {Canadian Human-Computer Communications Society / Soci{\'e}t{\'e} canadienne du dialogue humain-machine},
    }

Abstract

We propose a collaborative 3D modeling system that deconstructs the complex 3D modeling process into a collection of simple tasks to be executed by nonprofessional crowd workers. Given a 2D image showing a target object, each crowd worker is directed to draw a simple sketch representing an orthographic view of the object, using their visual cognition and real-world knowledge. The system then synthesizes a 3D model by integrating the geometrical information obtained from a collection of gathered sketches. We show a set of algorithms that generates clean line drawings and a 3D model from a collection of incomplete sketches containing a considerable amount of errors and inconsistencies. We also discuss a crowdsourcing workflow that iteratively improves the quality of submitted sketches. It introduces competition between workers using extra rewards based on peer-reviewing as well as an example-sharing mechanism to help workers understand the task requirements and quality standards. The proposed system can produce decent-quality 3D geometries of various objects within a few hours.