3D Sketching for Interactive Model Retrieval in Virtual Reality

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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
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.
Description

        
@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
} }
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