Literature

For the interested reader we offer further reading or links to the 6D-Vision topics

6D-Vision

[1] C. Rabe, T. Müller, A. Wedel, U. Franke: “Dense, Robust and Accurate 3D Motion Field Estimation from Stereo Image Sequences in Real-Time”, Proc. ECCV 2010, 5.-11.Sept. 2010, Heraklion, Greece

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[2] U. Franke, R.A. Zell: „Erkennungsdienst für Gefahren“, Daimler High-Tech-Report 1/2009, pp. 24-30

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[3] U. Franke, C. Rabe, S. Gehrig: „Kollisionsvermeidung durch raum-zeitliche Bildanalyse“, Information Technology, vol. 49, pp. 25–32, Februar 2007

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[4] C. Rabe, U. Franke, S. Gehrig: “Fast detection of moving objects in complex scenarios”,IEEE Intelligent Vehicles Symposium IV 2007, Istanbul

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[5] U. Franke, C. Rabe, H. Badino, S. Gehrig: “6D-Vision – Fusion of Motion and Stereo for Robust Environment Perception”, DAGM Symposium 2005, Vienna, pp. 216–223, 2005

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Stereo Vision

[6] S. Gehrig, F. Eberli, T. Meyer: „A Real-Time Low-Power Stereo Engine Using Semi-Global Matching“, Proc. International Conference on Vision Systems ICVS 2009, October 2009

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[7] H. Hirschmüller, S. Gehrig: “Stereo Matching in the Presence of Sub-Pixel Calibration Errors”, International Conference on Vision and Pattern Recognition, CVPR 2009

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[8] S. Gehrig, U. Franke: “Improving Sub-pixel Accuracy for Long-Range Stereo”,Workshop VRML, International Conference on Computer Vision, ICCV 2007

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[8b] H. Hirschmüller: "Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 20-26 June 2005, San Diego, CA, USA, Volume 2, pp. 807-814.

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Optical Flow

[9] F. Stein: “Efficient Computation of Optical Flow Using the Census Transform”,26th DAGM Symposium on Pattern Recognition, Tübingen, 2004

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[10] C. Zach, T. Pock, H. Bischof, "A Duality Based Approach for Realtime TV-L1 Optical Flow", DAGM Symposium 2007, pp. 214-223, 2007.

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[10b] A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke, D. Cremers: "Efficient Dense Scene Flow from Sparse or Dense Stereo Data", 10th European Conference on Computer Vision, Marseille, France, 12.-18.10.2008.

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Object detection

[11] A. Barth, U. Franke: “Where Will the Oncoming Vehicle be the Next Second?”,IEEE Intelligent Vehicles Symposium 2008

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Current work of the team

[12] A. Barth, A. Meissner, J. Siegemund, U. Franke, W. Förstner: “Probabilistic Multi Class Scene Flow Segmentation for Traffic Scenes”, DAGM, Darmstadt, Sept. 2010

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[13] D. Pfeiffer, U. Franke: “Efficient Representation of Traffic Scenes by means of Dynamic Stixels”, IEEE Intelligent Vehicles Symposium IV 2010, San Diego, CA, Juni 2010

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[14] D. Pfeiffer, U.Franke: "Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data", British Machine Vision Conference, August 2011

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[15] T. Müller, J. Rannacher, C. Rabe, U. Franke: „Feature- and Depth-Supported Modified Total Variation Optical Flow for 3D Motion Field Estimation in Real Scenes", IEEE CVPR 2011, Colorado Springs, 20.-25.Juni 2011

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[16] M. Enzweiler, D.M. Gavrila: "A Multi-Level Mixture-of-Experts Framework for Pedestrain Classification", IEEE Trans. on Image Processing, October 2011

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[17] C. G. Keller, C. Hermes, D.M. Gavrila: "Will the pedestrian cross?", DAGM Symposium, Frankfurt, September 2011

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6D-Vision outside the Team

Carnegie-Mellon-University (Pittsburgh, PA, USA) has re-implemented 6D-Vision successfully for motion detection and ego-motion estimation with a stereocamera helmet [18] (received the "Best Application Paper Award").

[18] H. Badino and T. Kanade: "A Head-Wearable Short-Baseline Stereo System for the Simultaneous Estimation of Structure and Motion", MVA (Machine Vision Applications), Nara, Japan, June 2011

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