Publications

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S. Meister, Izadi, S., Kohli, P., Hämmerle, M., Rother, C., and Kondermann, D., When Can We Use KinectFusion for Ground Truth Acquisition?, in Workshop on Color-Depth Camera Fusion in Robotics, IEEE International Conference on Intelligent Robots and Systems, 2012.
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R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D., A Survey on Time-of-Flight Stereo Fusion, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.PDF icon Technical Report (6.05 MB)
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D., A Survey on Time-of-Flight Stereo Fusion, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.
S. Meister, A Study on Ground Truth Generation for Optical Flow, University of Heidelberg, 2010.
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B., Stereo Ground Truth with Error Bars, in Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595–610.
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Hofmann, S., Brenner, C., and Jähne, B., Stereo ground truth with error bars, in Asian Conference on Computer Vision, ACCV 2014, 2014.
K. Berger, Meister, S., Nair, R., and Kondermann, D., A State of the Art Report on Kinect Sensor Setups in Computer Vision, in Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.
S. Meister, Nair, R., and Kondermann, D., Simulation of Time-of-Flight Sensors using Global Illumination, in Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings, 2013, pp. 33-40.
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R. Nair, Meister, S., Lambers, M., Balda, M., Hofmann, H., Kolb, A., Kondermann, D., and Jähne, B., Ground truth for evaluating time of flight imaging, Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, vol. 8200. Springer, p. 52--74, 2012.
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H. Schäfer, Lenzen, F., Meister, S., and Garbe, C. S., Edge Detection in Time-of-Flight Images, in submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer Vision, 2012.
D
F. Lenzen, Kim, K. In, Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., Denoising Strategies for Time-of-Flight Data, Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 25-45, 2013.PDF icon Technical Report (961.62 KB)
F. Lenzen, Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., and Garbe, C. S., Denoising Strategies for Time-of-Flight Data, in Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200, pp. 24-25.
S. Wanner, Meister, S., and Goldlücke, B., Datasets and Benchmarks for Densely Sampled 4D Light Fields, in Vision, Modeling & Visualization, 2013, p. 225--226.