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Exo-Balancer: Design Method of Personalized Stabilizers for Shooting Actions

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Yoichi OchiaiAuthors Info & Claims

AH '18: Proceedings of the 9th Augmented Human International Conference

Article No.: 32, Pages 1 - 2

https://doi.org/10.1145/3174910.3174915

Published: 06 February 2018 Publication History

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Abstract

In photography and videography, it is a huge challenge to align sight towards a moving target continuously and steadily often requiring considerable practice and experience. Blurry photos are often taken by camera users who lack requisite skills. To address this problem, stabilizers have been designed. Conventional stabilizers introduce a steep learning curve, because they are designed to be mass-produced and not tailored to the individual. Therefore, we present a design method of personalized stabilizers for shooting actions. Our system requires users to input their body data. Then, the system proposes the suitable position of the camera to be harnessed to the user considering the moments of force of both the user and camera.

References

[1]

Sunghyun Cho, Hojin Cho, Yu-Wing Tai, and Seungyong Lee. 2011. Non-uniform Motion Deblurring for Camera Shakes Using Image Registration. In ACM SIGGRAPH 2011 Talks (SIGGRAPH '11). ACM, New York, NY, USA, Article 62, 1 pages.

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[2]

Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, and William T. Freeman. 2006. Removing Camera Shake from a Single Photograph. ACM Trans. Graph. 25, 3 (July 2006), 787--794.

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[3]

Yuki Koyama, Issei Sato, Daisuke Sakamoto, and Takeo Igarashi. 2017. Sequential line search for efficient visual design optimization by crowds. ACM Transactions on Graphics (TOG) 36, 4 (2017), 48.

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Index Terms

Exo-Balancer: Design Method of Personalized Stabilizers for Shooting Actions
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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Published In

AH '18: Proceedings of the 9th Augmented Human International Conference

February 2018

229 pages

ISBN:9781450354158

DOI:10.1145/3174910

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

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Published: 06 February 2018

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AH2018

AH2018: The 9th Augmented Human International Conference

February 7 - 9, 2018

Seoul, Republic of Korea

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Overall Acceptance Rate 121 of 306 submissions, 40%

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Augmentation in Performance of Real-Time Balancing and Position Tracking Control for 2-DOF Ball Balancer System Using Intelligent Controllers

Real-time control of ball balancer using neural integrated fuzzy controller

Catadioptric Stereo Using Planar Mirrors

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