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abstract

Direct view manipulation for drone photography

Published: 02 November 2015 Publication History

Abstract

For a long time, photographers hold and move their cameras, and consider how to frame a good shot all at the same time. With the emergence of drones, people start to let the flying carriers to hold their cameras in order to take more compelling pictures. However, the viewports between the photographer and device become decoupled and every single movement needs to be explicitly instructed via a remote controller. Even with the first-person view video streaming, users still have to be very skillful to fluently pilot the drone without causing distraction to photo composition. Inspired by the concept of viewfinder editing [Baek et al. 2013], we propose a more intuitive interface to control the flying camera (i.e., the drone) by direct view manipulation embodied with multi-touch gestures, which allows the users to directly alter and rearrange the visual elements in the picture prior to image capturing. In our proof-of-concept implementation, the viewfinder of a flying camera is mapped to the screen of a mobile device. The physical camera movements are encoded by common photo manipulation operations, such as translation and scaling, with multi-touch gestures.

References

[1]
Baek, J., Pajak, D., Kim, K., Pulli, K., and Levoy, M. 2013. WYSIWYG computational photography via viewfinder editing. ACM Trans. Graph. 32, 6, 198:1--198:10.
[2]
Bay, H., Tuytelaars, T., and Gool, L. V. 2006. SURF: Speeded up robust features. In Proc. ECCV '06, 404--417.

Cited By

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  • (2022)Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone InteractionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501881(1-22)Online publication date: 29-Apr-2022
  • (2021)Taking That Perfect Aerial Photo: A Synopsis of Interactions for Drone-based Aerial Photography and VideoProceedings of the 2021 ACM International Conference on Interactive Media Experiences10.1145/3452918.3465484(275-279)Online publication date: 21-Jun-2021
  • (2018)FlyCam: Multitouch Gesture Controlled Drone Gimbal PhotographyIEEE Robotics and Automation Letters10.1109/LRA.2018.28562713:4(3717-3724)Online publication date: Oct-2018

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cover image ACM Other conferences
SA '15: SIGGRAPH Asia 2015 Posters
November 2015
45 pages
ISBN:9781450339261
DOI:10.1145/2820926
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2015

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SA'15
SA'15: SIGGRAPH Asia 2015
November 2 - 6, 2015
Kobe, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

View all
  • (2022)Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone InteractionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501881(1-22)Online publication date: 29-Apr-2022
  • (2021)Taking That Perfect Aerial Photo: A Synopsis of Interactions for Drone-based Aerial Photography and VideoProceedings of the 2021 ACM International Conference on Interactive Media Experiences10.1145/3452918.3465484(275-279)Online publication date: 21-Jun-2021
  • (2018)FlyCam: Multitouch Gesture Controlled Drone Gimbal PhotographyIEEE Robotics and Automation Letters10.1109/LRA.2018.28562713:4(3717-3724)Online publication date: Oct-2018

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