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Vision-Based Detection of Mobile Smart Objects

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Vision-Based Detection of Mobile Smart Objects. / Molyneaux, David; Gellersen, Hans; Schiele, Bernt.
Lecture Notes in Computer Science: Smart Sensing and Context. Vol. 5279/2008 Springer, 2008. p. 27-40.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Molyneaux, D, Gellersen, H & Schiele, B 2008, Vision-Based Detection of Mobile Smart Objects. in Lecture Notes in Computer Science: Smart Sensing and Context. vol. 5279/2008, Springer, pp. 27-40, EuroSSC 2008, Zurich, CH, 1/01/00. https://doi.org/10.1007/978-3-540-88793-5_3

APA

Molyneaux, D., Gellersen, H., & Schiele, B. (2008). Vision-Based Detection of Mobile Smart Objects. In Lecture Notes in Computer Science: Smart Sensing and Context (Vol. 5279/2008, pp. 27-40). Springer. https://doi.org/10.1007/978-3-540-88793-5_3

Vancouver

Molyneaux D, Gellersen H, Schiele B. Vision-Based Detection of Mobile Smart Objects. In Lecture Notes in Computer Science: Smart Sensing and Context. Vol. 5279/2008. Springer. 2008. p. 27-40 doi: 10.1007/978-3-540-88793-5_3

Author

Molyneaux, David ; Gellersen, Hans ; Schiele, Bernt. / Vision-Based Detection of Mobile Smart Objects. Lecture Notes in Computer Science: Smart Sensing and Context. Vol. 5279/2008 Springer, 2008. pp. 27-40

Bibtex

@inproceedings{6a59c4a322ba459db2002d552fd6f0ea,
title = "Vision-Based Detection of Mobile Smart Objects",
abstract = "Molyneaux, David and Gellersen, Hans and Kortuem, Gerd and Schiele, Bernt (2007) Cooperative Augmentation of Smart Objects with Projector-Camera Systems. In: Proc. Ubicomp 2007: 9th International Conference on Ubiquitous Computing, Innsbruck, Austria. Block, Florian and Gellersen, Hans and Hazas, Mike and Molyneaux, David and Villar, Nicolas (2006) Locating Physical Interface Objects on Interactive We evaluate an approach for mobile smart objects to cooperate with projector-camera systems to achieve interactive projected displays on their surfaces without changing their appearance or function. Smart objects describe their appearance directly to the projector-camera system, enabling vision-based detection based on their natural appearance. This detection is a significant challenge, as objects differ in appearance and appear at varying distances and orientations with respect to a tracking camera. We investigate four detection approaches representing different appearance cues and contribute three experimental studies analysing the impact on detection performance, firstly of scale and rotation, secondly the combination of multiple appearance cues and thirdly the use of context information from the smart object. We find that the training of appearance descriptions must coincide with the scale and orientations providing the best detection performance, that multiple cues provide a clear performance gain over a single cue and that context sensing masks distractions and clutter, further improving detection performance.",
keywords = "cs_eprint_id, 2167 cs_uid, 382",
author = "David Molyneaux and Hans Gellersen and Bernt Schiele",
year = "2008",
month = oct,
doi = "10.1007/978-3-540-88793-5_3",
language = "English",
volume = "5279/2008",
pages = "27--40",
booktitle = "Lecture Notes in Computer Science",
publisher = "Springer",
note = "EuroSSC 2008 ; Conference date: 01-01-1900",

}

RIS

TY - GEN

T1 - Vision-Based Detection of Mobile Smart Objects

AU - Molyneaux, David

AU - Gellersen, Hans

AU - Schiele, Bernt

PY - 2008/10

Y1 - 2008/10

N2 - Molyneaux, David and Gellersen, Hans and Kortuem, Gerd and Schiele, Bernt (2007) Cooperative Augmentation of Smart Objects with Projector-Camera Systems. In: Proc. Ubicomp 2007: 9th International Conference on Ubiquitous Computing, Innsbruck, Austria. Block, Florian and Gellersen, Hans and Hazas, Mike and Molyneaux, David and Villar, Nicolas (2006) Locating Physical Interface Objects on Interactive We evaluate an approach for mobile smart objects to cooperate with projector-camera systems to achieve interactive projected displays on their surfaces without changing their appearance or function. Smart objects describe their appearance directly to the projector-camera system, enabling vision-based detection based on their natural appearance. This detection is a significant challenge, as objects differ in appearance and appear at varying distances and orientations with respect to a tracking camera. We investigate four detection approaches representing different appearance cues and contribute three experimental studies analysing the impact on detection performance, firstly of scale and rotation, secondly the combination of multiple appearance cues and thirdly the use of context information from the smart object. We find that the training of appearance descriptions must coincide with the scale and orientations providing the best detection performance, that multiple cues provide a clear performance gain over a single cue and that context sensing masks distractions and clutter, further improving detection performance.

AB - Molyneaux, David and Gellersen, Hans and Kortuem, Gerd and Schiele, Bernt (2007) Cooperative Augmentation of Smart Objects with Projector-Camera Systems. In: Proc. Ubicomp 2007: 9th International Conference on Ubiquitous Computing, Innsbruck, Austria. Block, Florian and Gellersen, Hans and Hazas, Mike and Molyneaux, David and Villar, Nicolas (2006) Locating Physical Interface Objects on Interactive We evaluate an approach for mobile smart objects to cooperate with projector-camera systems to achieve interactive projected displays on their surfaces without changing their appearance or function. Smart objects describe their appearance directly to the projector-camera system, enabling vision-based detection based on their natural appearance. This detection is a significant challenge, as objects differ in appearance and appear at varying distances and orientations with respect to a tracking camera. We investigate four detection approaches representing different appearance cues and contribute three experimental studies analysing the impact on detection performance, firstly of scale and rotation, secondly the combination of multiple appearance cues and thirdly the use of context information from the smart object. We find that the training of appearance descriptions must coincide with the scale and orientations providing the best detection performance, that multiple cues provide a clear performance gain over a single cue and that context sensing masks distractions and clutter, further improving detection performance.

KW - cs_eprint_id

KW - 2167 cs_uid

KW - 382

U2 - 10.1007/978-3-540-88793-5_3

DO - 10.1007/978-3-540-88793-5_3

M3 - Conference contribution/Paper

VL - 5279/2008

SP - 27

EP - 40

BT - Lecture Notes in Computer Science

PB - Springer

T2 - EuroSSC 2008

Y2 - 1 January 1900

ER -