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@inproceedings{funk2016perdis,
 abstract = {Projectors most likely will be embedded into the next generation of mobile devices,
and thus projecting pictures and videos into the physical world will be an important
use case. However, the projection positioning in the real world is challenged by surface
reflections or objects in the environment. As adjusting the projected image manually
is cumbersome, in this work, we introduce a camera-based algorithm to measure the
projection suitability of arbitrary surfaces by using three classifiers that can be
derived automatically and in real-time from a camera image. Through a user study,
in that participants rated the projection quality of different surfaces, we developed
guidelines to indicate suitable projection spots using the three classifiers. As a
proof of concept, we implemented a mobile prototype applying the proposed guidelines.
This prototype automatically scales and places projected content at the position in
everyday environments that promises the best projection quality.},
 address = {New York, NY, USA},
 author = {Funk, Markus and Kosch, Thomas and Wolf, Katrin and Knierim, Pascal and Mayer, Sven and Schmidt, Albrecht},
 booktitle = {Proceedings of the 5th ACM International Symposium on Pervasive Displays},
 doi = {10.1145_2914920.2915014},
 isbn = {9781450343664},
 keywords = {camera-projector system, adaptive ui, projector phones},
 location = {Oulu, Finland},
 numpages = {5},
 pages = {75–79},
 publisher = {Association for Computing Machinery},
 series = {PerDis '16},
 title = {Automatic Projection Positioning Based on Surface Suitability},
 url = {https://www.unibw.de/usable-security-and-privacy/publikationen/pdf/funk2016perdis.pdf},
 year = {2016}
}