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A

C. Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B., “An adaptive confidence measure for optical flows based on linear subspace projections”, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.

D. Kondermann, “Alles im Fluss --- Optischer Fluss für industrielle Anwendungen”. 2011.

B. Güssefeld, Kondermann, D., Schwartz, C., and Klein, R., “Are reflectance field renderings appropriate for optical flow evaluation?”, in International Conference on Image Processing, ICIP 2014, 2014.

C

L. Maier-Hein, Mersmann, S., Kondermann, D., Bodenstedt, S., Sanchez, A., Stock, C., Kenngott, H., Eisenmann, M., and Speidel, S., “Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images”, in MICCAI, 2014.

B. Güssefeld, Honauer, K., and Kondermann, D., “Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets”, in Advances in Visual Computing - 12th International Symposium, {ISVC} 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part {I}, 2016.

L. Maier-Hein, Mersmann, S., Kondermann, D., Stock, C., Kenngott, H., Sanchez, A., Wagner, M., Preukschas, A., Wekerle, A. - L., Helfert, S., Bodenstedt, S., and Speidel, S., “Crowdsourcing for reference correspondence generation in endoscopic images”, in MICCAI, 2014.

D

K. Honauer, Johannsen, O., Kondermann, D., and Goldlücke, B., “A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields”, in Computer Vision - ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III, Cham, 2016.

J. Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., “Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation”, Exp. Fluids, vol. 45, p. 583--593, 2008.

J. Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., “Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation”, in 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept., 2007.

E

R. Haeusler, Nair, R., and Kondermann, D., “Ensemble Learning for Confidence Measures in Stereo Vision”, in CVPR 2013, in press, 2013, pp. 305-312.

B. Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., “On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation”, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.

B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., “On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation”, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.

Technical Report (1.58 MB)

G

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.

H

D. Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., “The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving”, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.

K. Honauer, Maier-Hein, L., and Kondermann, D., “The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms”, in The IEEE International Conference on Computer Vision (ICCV), 2015.

R. Nair, Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., and Kondermann, D., “High accuracy TOF and stereo sensor fusion at interactive rates”, in Computer Vision--ECCV 2012. Workshops and Demonstrations, 2012, p. 1--11.

Technical Report (7.29 MB)

R. Nair, Lenzen, F., Schäfer, H., Meister, S., Garbe, C. S., and Kondermann, D., “High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates”, in submitted to ECCV 2012, 2012, vol. 7584, pp. 1-11.

R. Nair and Kondermann, D., “High Precision TOF-guided Depth from Stereo for Room Scanning”, CVMP, Proceedings., 2011.

A. Donath and Kondermann, D., “How Good is Crowdsourcing for Optical Flow Ground Truth Generation?”, submitted to CVPR, 2013.

M

D. Kondermann, “Modular Optical Flow Estimation with Applications to Fluid Dynamics”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2009.

D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., “Motion Estimation Based on a Temporal Model of Fluid Flows”, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.

M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to 3DTV-Con, 2013.

D. Kondermann and Becker, M., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to ICCV, 2013.

O

S. Meister, Jähne, B., and Kondermann, D., “Outdoor stereo camera system for the generation of real-world benchmark data sets”, Opt. Eng., vol. 51, p. 021107, 2012.

S. Meister, Jähne, B., and Kondermann, D., “Outdoor Stereo Camera System for the Generation of Real-World Benchmark Data Sets”, Optical Engineering, vol. 51, pp. 021107-1, 2012.

P

D. Kondermann, Abraham, S., Förstner, W., Gehrig, S., Imiya, A., Jähne, B., Klose, F., Magor, M., Mayer, H., Mester, R., Pajdla, T., Reulke, R., and Zimmer, H., “On Performance Analysis of Optical Flow Algorithms”, in Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop 2011, 2012, vol. LNCS, pp. 329-355.

C. Kondermann, Kondermann, D., and Garbe, C. S., “Postprocessing of optical flows via surface measures and motion inpainting”, in Pattern Recognition, 2008, vol. 5096, p. 355--364.

S

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.

C. S. Garbe, Kondermann, D., Jehle, M., and Jähne, B., “Spatiotemporal image analysis for flow measurements”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 289--305, 2009.

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.

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.

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.

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.

T

A. Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., “Three-dimensional, three-component wall-PIV”, Exp. Fluids, vol. 48, p. online, 2010.

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