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Ridges, Valleys and Hausdorff Based Similarity Measures for Face Description and Matching .

, , , and . PRIS, page 80-90. ICEIS Press, (2001)

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Anisotropic 2D and 3D Averaging of fMRI Signals., , , , and . IEEE Trans. Med. Imaging, 20 (2): 86-93 (2001)Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method., , , and . J. Electronic Imaging, 8 (3): 255-262 (1999)Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving., , , and . CoRR, (2018)3D-Guided Multiscale Sliding Window for Pedestrian Detection., , , , and . IbPRIA, volume 9117 of Lecture Notes in Computer Science, page 560-568. Springer, (2015)Creaseness Measures for CT and MR Image Registration., and . CVPR, page 694-699. IEEE Computer Society, (1998)Random Forests of Local Experts for Pedestrian Detection., , , , and . ICCV, page 2592-2599. IEEE Computer Society, (2013)Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance., , , and . ICIP (3), page 901-904. IEEE, (2003)Spatiotemporal Stacked Sequential Learning for Pedestrian Detection., , , , and . CoRR, (2014)Joint Coarse-And-Fine Reasoning for Deep Optical Flow., , , , and . CoRR, (2018)Nighttime Vehicle Detection for Intelligent Headlight Control., , , , , and . ACIVS, volume 5259 of Lecture Notes in Computer Science, page 113-124. Springer, (2008)