Giunchi, D;
James, S;
Steed, A;
(2018)
Model Retrieval by 3D Sketching in Immersive Virtual Reality.
Presented at: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, Germany.
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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 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 preliminary user study we demonstrate that by using our VR 3D model retrieval system, users can perform quick and intuitive search. 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.
Type: | Poster |
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Title: | Model Retrieval by 3D Sketching in Immersive Virtual Reality |
Event: | 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) |
Location: | Reutlingen, Germany |
Dates: | 18 March 2018 - 22 March 2018 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://doi.org/10.1109/VR.2018.8446609 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10058867 |




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