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Efficient and Precise Multi-Camera Reconstruction

Title data

Werner, Tobias ; Henrich, Dominik:
Efficient and Precise Multi-Camera Reconstruction.
In: Proceedings of the International Conference on Distributed Smart Cameras. - Venezia Mestre, Italy , 2014 . - 23
DOI: https://doi.org/10.1145/2659021.2659066

Project information

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SIMERO
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Abstract in another language

Human-robot cooperation requires efficient and precise geometric reconstruction of objects in any shared workspace to meet safety requirements. State-of-art solutions accept a trade-off to satisfy these requirements. Usually, this implies limited robot speed, expensive hardware, or low-precision input and output. In contrast, we present a novel multi-camera reconstruction approach that is both efficient and precise: We apply incremental and hierarchical algorithms to image preprocessing and visual hull reconstruction. Subsequent knowledge-based postprocessing refines the initial reconstruction. Given ground-truth input, we furthermore maintain conservative bounds of objects in the workspace. In total, our contribution satisfies real-time and anytime requirements even on modest hardware and for high-precision input and output. We validate this by synthetic and real-world experiments. Thus, our approach is suited for safety-, time-, and precision-critical reconstruction with applications in home robotics, surveillance, and industrial automation.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 19 Feb 2025 14:21
Last Modified: 15 Apr 2025 11:52
URI: https://eref.uni-bayreuth.de/id/eprint/92473