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Authors: Xiaoliang Xiong ; Jie Feng and Bingfeng Zhou

Affiliation: Peking University, China

Keyword(s): Drone Control, Automatic View Finding, Drone Photography, Image Aesthetic Evaluation.

Related Ontology Subjects/Areas/Topics: Computational Photography ; Computer Vision, Visualization and Computer Graphics ; Fundamental Methods and Algorithms ; Geometry and Modeling ; Rendering ; Systems and Software Architectures for Rendering

Abstract: Consumer-level remotely controlled smart drones are usually equipped with high resolution cameras, which make them possible to become unmanned "flying camera". For this purpose, in this paper, we propose an automatic view finding scheme which can autonomously navigate a drone to an proper space position where a photo with an optimal composition can be taken. In this scheme, an automatic aesthetic evaluation for image composition is introduced to navigate the flying drone. It is accomplished by applying commonly used composition guidelines on the image transmitted from the drone at current view. The evaluation result is then conversely used to control the flight and provide feedback for the drone to determine its next movement. In flight control, we adopt a downhill simplex strategy to search for the optimal position and viewing direction of the drone in its flying space. When the searching converges, the drone stops and take an optimal image at current position.

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Paper citation in several formats:
Xiong, X. ; Feng, J. and Zhou, B. (2017). Automatic View Finding for Drone Photography based on Image Aesthetic Evaluation. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP; ISBN 978-989-758-224-0; ISSN 2184-4321, SciTePress, pages 282-289. DOI: 10.5220/0006255402820289

@conference{grapp17,
author={Xiaoliang Xiong and Jie Feng and Bingfeng Zhou},
title={Automatic View Finding for Drone Photography based on Image Aesthetic Evaluation},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP},
year={2017},
pages={282-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006255402820289},
isbn={978-989-758-224-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - GRAPP
TI - Automatic View Finding for Drone Photography based on Image Aesthetic Evaluation
SN - 978-989-758-224-0
IS - 2184-4321
AU - Xiong, X.
AU - Feng, J.
AU - Zhou, B.
PY - 2017
SP - 282
EP - 289
DO - 10.5220/0006255402820289
PB - SciTePress