Interactive Axis-based 3D Rotation Specification using Image Skeletons

Xiaorui Zhai, Xingyu Chen, Xingyu Chen, Lingyun Yu, Alexandru Telea

2020

Abstract

Specifying 3D rotations of shapes around arbitrary axes is not easy to do. We present a new method for this task, based on the concept of natural local rotation axes. We define such axes using the 3D curve skeleton of the shape of interest. We compute effective and efficient approximations of such skeletons using the 2D projection of the shape. Our method allows users to specify 3D rotations around parts of arbitrary 3D shapes with a single click or touch, is simple to implement, works in real time for large scenes, can be easily added to any OpenGL-based scene viewer, and can be used on both mouse-based and touch interfaces.

Paper Citation

in Harvard Style

Zhai X., Chen X., Yu L. and Telea A. (2020). Interactive Axis-based 3D Rotation Specification using Image Skeletons. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP; ISBN 978-989-758-402-2, SciTePress, pages 169-178. DOI: 10.5220/0009149901690178

in Bibtex Style

@conference{grapp20,
author={Xiaorui Zhai and Xingyu Chen and Lingyun Yu and Alexandru Telea},
title={Interactive Axis-based 3D Rotation Specification using Image Skeletons},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP},
year={2020},
pages={169-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009149901690178},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 1: GRAPP
TI - Interactive Axis-based 3D Rotation Specification using Image Skeletons
SN - 978-989-758-402-2
AU - Zhai X.
AU - Chen X.
AU - Yu L.
AU - Telea A.
PY - 2020
SP - 169
EP - 178
DO - 10.5220/0009149901690178
PB - SciTePress