OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

OptiSpace : Automated Placement of Interactive 3D Projection Mapping Content. / Fender, Andreas; Herholz, Philipp; Alexa, Marc; Müller, Jörg.

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY, USA : Association for Computing Machinery, 2018. p. 269:1--269:11 269.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Fender, A, Herholz, P, Alexa, M & Müller, J 2018, OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content. in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems., 269, Association for Computing Machinery, ACM New York, NY, USA, ACM CHI Conference on Human Factors in Computing Systems, no. 2018, pp. 269:1--269:11, Montreal, Canada, 21/04/2018. https://doi.org/10.1145/3173574.3173843

APA

Fender, A., Herholz, P., Alexa, M., & Müller, J. (2018). OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 269:1--269:11). [269] ACM New York, NY, USA: Association for Computing Machinery. ACM CHI Conference on Human Factors in Computing Systems, No. 2018 https://doi.org/10.1145/3173574.3173843

CBE

Fender A, Herholz P, Alexa M, Müller J. 2018. OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY, USA: Association for Computing Machinery. pp. 269:1--269:11. (ACM CHI Conference on Human Factors in Computing Systems; No. 2018). https://doi.org/10.1145/3173574.3173843

MLA

Fender, Andreas et al. "OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content". Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY, USA: Association for Computing Machinery. (ACM CHI Conference on Human Factors in Computing Systems; Journal number 2018). 2018, 269:1--269:11. https://doi.org/10.1145/3173574.3173843

Vancouver

Fender A, Herholz P, Alexa M, Müller J. OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY, USA: Association for Computing Machinery. 2018. p. 269:1--269:11. 269. (ACM CHI Conference on Human Factors in Computing Systems; No. 2018). https://doi.org/10.1145/3173574.3173843

Author

Fender, Andreas ; Herholz, Philipp ; Alexa, Marc ; Müller, Jörg. / OptiSpace : Automated Placement of Interactive 3D Projection Mapping Content. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY, USA : Association for Computing Machinery, 2018. pp. 269:1--269:11 (ACM CHI Conference on Human Factors in Computing Systems; No. 2018).

Bibtex

@inproceedings{40a9d7370b974640835adc86549ad009,
title = "OptiSpace: Automated Placement of Interactive 3D Projection Mapping Content",
abstract = "We present OptiSpace, a system for the automated placement of perspectively corrected projection mapping content. We analyze the geometry of physical surfaces and the viewing behavior of users over time using depth cameras. Our system measures user view behavior and simulates a virtual projection mapping scene users would see if content were placed in a particular way. OptiSpace evaluates the simulated scene according to perceptual criteria, including visibility and visual quality of virtual content. Finally, based on these evaluations, it optimizes content placement, using a two-phase procedure involving adaptive sampling and the covariance matrix adaptation algorithm. With our proposed architecture, projection mapping applications are developed without any knowledge of the physical layouts of the target environments. Applications can be deployed in different uncontrolled environments, such as living rooms and office spaces.",
keywords = "Multi-display environments, 3D projection mapping, Content placement, Viewing behavior",
author = "Andreas Fender and Philipp Herholz and Marc Alexa and J{\"o}rg M{\"u}ller",
note = "Danish Innovation Fund",
year = "2018",
month = "4",
day = "21",
doi = "10.1145/3173574.3173843",
language = "English",
isbn = "978-1-4503-5620-6",
pages = "269:1----269:11",
booktitle = "Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - OptiSpace

T2 - Automated Placement of Interactive 3D Projection Mapping Content

AU - Fender, Andreas

AU - Herholz, Philipp

AU - Alexa, Marc

AU - Müller, Jörg

N1 - Danish Innovation Fund

PY - 2018/4/21

Y1 - 2018/4/21

N2 - We present OptiSpace, a system for the automated placement of perspectively corrected projection mapping content. We analyze the geometry of physical surfaces and the viewing behavior of users over time using depth cameras. Our system measures user view behavior and simulates a virtual projection mapping scene users would see if content were placed in a particular way. OptiSpace evaluates the simulated scene according to perceptual criteria, including visibility and visual quality of virtual content. Finally, based on these evaluations, it optimizes content placement, using a two-phase procedure involving adaptive sampling and the covariance matrix adaptation algorithm. With our proposed architecture, projection mapping applications are developed without any knowledge of the physical layouts of the target environments. Applications can be deployed in different uncontrolled environments, such as living rooms and office spaces.

AB - We present OptiSpace, a system for the automated placement of perspectively corrected projection mapping content. We analyze the geometry of physical surfaces and the viewing behavior of users over time using depth cameras. Our system measures user view behavior and simulates a virtual projection mapping scene users would see if content were placed in a particular way. OptiSpace evaluates the simulated scene according to perceptual criteria, including visibility and visual quality of virtual content. Finally, based on these evaluations, it optimizes content placement, using a two-phase procedure involving adaptive sampling and the covariance matrix adaptation algorithm. With our proposed architecture, projection mapping applications are developed without any knowledge of the physical layouts of the target environments. Applications can be deployed in different uncontrolled environments, such as living rooms and office spaces.

KW - Multi-display environments

KW - 3D projection mapping

KW - Content placement

KW - Viewing behavior

U2 - 10.1145/3173574.3173843

DO - 10.1145/3173574.3173843

M3 - Article in proceedings

SN - 978-1-4503-5620-6

SP - 269:1--269:11

BT - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - ACM New York, NY, USA

ER -