@conference {lenzen_13_denoising, title = {Denoising Strategies for Time-of-Flight Data}, booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications}, volume = {8200}, year = {2013}, note = {1}, pages = {24-25}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/978-3-642-44964-2_2}, author = {Frank Lenzen and Kim, K. I. and Sch{\"a}fer, H. and Nair, R. and Stephan Meister and Florian Becker and Christoph S. Garbe}, editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Theobalt, C. and Reinhard Koch} } @incollection {Lenzen2013stategies, title = {Denoising Strategies for Time-of-Flight Data}, volume = {8200}, year = {2013}, pages = {25-45}, publisher = {Springer}, author = {Frank Lenzen and Kim, Kwang In and Sch{\"a}fer, Henrik and Nair, Rahul and Stephan Meister and Florian Becker and Christoph S. Garbe}, editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Theobalt, Christian and Reinhard Koch} } @conference {berger_13_state, title = {A State of the Art Report on Kinect Sensor Setups in Computer Vision}, booktitle = {Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications}, volume = {8200}, year = {2013}, pages = {257-272}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/978-3-642-44964-2_12}, author = {Berger, K. and Stephan Meister and Nair, R. and Daniel Kondermann}, editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Reinhard Koch} } @conference {nair_13_survey, title = {A Survey on Time-of-Flight Stereo Fusion}, booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications}, volume = {8022}, year = {2013}, pages = {105-127}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/978-3-642-44964-2_6}, author = {Nair, R. and Ruhl, K. and Frank Lenzen and Stephan Meister and Sch{\"a}fer, H. and Christoph S. Garbe and Eisemann, M. and Daniel Kondermann}, editor = {Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Reinhard Koch} } @incollection {Nair2013survey, title = {A Survey on Time-of-Flight Stereo Fusion}, volume = {8200}, year = {2013}, pages = {105-127}, publisher = {Springer}, author = {Nair, Rahul and Ruhl, Kai and Frank Lenzen and Stephan Meister and Sch{\"a}fer, Henrik and Christoph S. Garbe and Eisemann, Martin and Magnor, Marcus and Daniel Kondermann}, editor = {Grzegorzek, Marcin and Theobalt, Christian and Andreas Kolb and Reinhard Koch} } @conference {lefloch_13_technical, title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras}, booktitle = {Time-of-Flight Imaging: Algorithms, Sensors and Applications}, volume = {8200}, number = {3-24}, year = {2013}, publisher = {Springer}, organization = {Springer}, doi = {10.1007/978-3-642-44964-2_1}, author = {Lefloch, D. and Nair, R. and Frank Lenzen and Sch{\"a}fer, H. and Streeter, L. and Michael J. Cree}, editor = {Reinhard Koch and Grzegorzek, M. and Theobalt, C. and Andreas Kolb and Andreas Kolb and Reinhard Koch} } @incollection {Lefloch2013foundations, title = {Technical Foundation and Calibration Methods for Time-of-Flight Cameras}, volume = {8200}, year = {2013}, pages = {3-24}, publisher = {Springer}, author = {Damien Lefloch and Rahul Nair and Frank Lenzen and Henrik Sch{\"a}fer and Lee Streeter and Michael J. Cree and Reinhard Koch and Andreas Kolb}, editor = {Grzegorzek, Marcin and Theobalt, Christian and Koch, Reinhard and Kolb, Andreas} } @article {davis2013, title = {Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)}, journal = {Dagstuhl Reports}, volume = {2}, number = {10}, year = {2013}, pages = {79--104}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik}, abstract = {This report documents the program and the outcomes of Dagstuhl Seminar 12431 "Time-of-Flight Imaging: Algorithms, Sensors and Applications". The seminar brought together researchers with diverse background from both academia and industry to discuss various aspects of Time-of-Flight imaging and general depth sensors. The executive summary and abstracts of the talks given during the seminar as well as the outcome of several working groups on specific research topics are presented in this report.}, issn = {2192-5283}, doi = {http://dx.doi.org/10.4230/DagRep.2.10.79}, url = {http://drops.dagstuhl.de/opus/volltexte/2013/3904}, editor = {Davis, James and Bernd J{\"a}hne and Andreas Kolb and Raskar, Ramesh and Theobalt, Christian and Davis, James and Bernd J{\"a}hne and Raskar, Ramesh and Theobalt, Christian and Andreas Kolb} } @incollection {nair2012, title = {Ground truth for evaluating time of flight imaging}, volume = {8200}, year = {2012}, pages = {52--74}, publisher = {Springer}, doi = {10.1007/978-3-642-44964-2_4}, author = {Nair, Rahul and Stephan Meister and Lambers, Martin and Balda, Michael and Hofmann, Hannes and Andreas Kolb and Daniel Kondermann and Bernd J{\"a}hne} } @conference {schmidt2009, title = {A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light}, booktitle = {3rd Workshop on Dynamic 3-D Imaging}, volume = {5742}, year = {2009}, pages = {1--15}, publisher = {Springer}, organization = {Springer}, abstract = {We have developed a physical model of continuous-wave Time-of-Flight cameras, which focuses on a realistic reproduction of the sensor data. The derived simulation gives the ability to simulate data acquired by a ToF system with low computational effort. The model is able to use an arbitrary optical excitation and to simulate the sampling of a target response by a two-tap sensor, which can use any switching function. Nonlinear photo response and pixel saturation, as well as spatial variations from pixel to pixel like photo response non-uniformity (PRNU) and dark signal non-uniformity (DSNU) can be modeled. Also the influence of interfering background light and on-sensor suppression of ambient light can be simulated. The model was verified by analyzing two scenarios: The cameras response to an increasing, homogeneous irradiation as well as the systematic phase deviation caused by higher harmonics of the optical excitation. In both scenarios the model gave a precise reproduction of the observed data.}, doi = {10.1007/978-3-642-03778-8_1}, author = {Schmidt, Mirko and Bernd J{\"a}hne}, editor = {Reinhard Koch and Andreas Kolb} } @conference {erz2009, title = {Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras}, booktitle = {3rd Workshop on Dynamic 3-D Imaging}, volume = {5742}, year = {2009}, pages = {28--41}, publisher = {Springer}, organization = {Springer}, abstract = {This paper proposes to extend the EMVA 1288 standard to characterize the properties and noise of image sensors for ToF cameras. The concepts for radiometric and spectrometric sensitivities were extended for intensity images recorded by lock-in pixels. The characterization of the distance information was performed by describing the phase shift analogous to intensities. Results of sensitivity and noise measurements are presented for two ToF cameras: PMDTec CamCube and MESA Imaging SR3101. Both cameras had no intrinsic filter, so the quantum efficiency could be measured from UV to IR. The noise in the phase measurement could be related to the noise in the intensity.}, doi = {10.1007/978-3-642-03778-8_3}, author = {Michael Erz and Bernd J{\"a}hne}, editor = {Reinhard Koch and Andreas Kolb} }