Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo; Iuri Frosio; Orazio Gallo; Todd Zickler; Jan Kautz

ECCV 2018poster66 citations

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, Jan Kautz

Abstract

Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning approach to address all of these sources of artifacts simultaneously. We also introduce FLAT, a synthetic dataset of 2000 ToF measurements that capture all of these nonidealities, and allows to simulate different camera hardware. Using the Kinect 2 camera as a baseline, we show improved reconstruction errors over state-of-the-art methods, on both simulated and real data.

BibTeX

@inproceedings{eccv2018_tackling3dtofart,
  title = {Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset},
  author = {Qi Guo and Iuri Frosio and Orazio Gallo and Todd Zickler and Jan Kautz},
  booktitle = {ECCV 2018},
  year = {2018}
}