ML Anthology

High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates

Rahul Nair, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe, Daniel Kondermann
ECCV 2012 pp. 1-11
doi:10.1007/978-3-642-33868-7_1 /eccv/2012/nair2012eccv-high/

Abstract

We propose two new GPU-based sensor fusion approaches for time of flight (TOF) and stereo depth data. Data fidelity measures are defined to deal with the fundamental limitations of both techniques alone. Our algorithms combine TOF and stereo, yielding megapixel depth maps, enabling our approach to be used in a movie production scenario. Our local model works at interactive rates but yields noisier results, whereas our variational technique is more robust at a higher computational cost. The results show an improvement over each individual method with TOF interreflection remaining an open challenge. To encourage quantitative evaluations, a ground truth dataset is made publicly available.

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Cite

Text

Nair et al. "High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates." European Conference on Computer Vision, 2012. doi:10.1007/978-3-642-33868-7_1

Markdown

[Nair et al. "High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates." European Conference on Computer Vision, 2012.](https://mlanthology.org/eccv/2012/nair2012eccv-high/) doi:10.1007/978-3-642-33868-7_1

BibTeX

@inproceedings{nair2012eccv-high,
  title     = {{High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates}},
  author    = {Nair, Rahul and Lenzen, Frank and Meister, Stephan and Schäfer, Henrik and Garbe, Christoph S. and Kondermann, Daniel},
  booktitle = {European Conference on Computer Vision},
  year      = {2012},
  pages     = {1-11},
  doi       = {10.1007/978-3-642-33868-7_1},
  url       = {https://mlanthology.org/eccv/2012/nair2012eccv-high/}
}