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Is Your Permutation Algorithm Unbiased for n ≠ 2 m ?

M. Waechter, K. Hamacher, F. Hoffgaard, S. Widmer, and M. Goesele. PPAM (1), volume 7203 of Lecture Notes in Computer Science, page 297-306. Springer, (2011)

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Michael Böhm

Michael Funk

Hon. -Prof. Dr. -Ing. Michael Bauer University of Stuttgart

Dr. Michael Wachowsky University of Stuttgart

Dr. phil. Michael Nerurkar University of Stuttgart

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Rapid, detail-preserving image downscaling.N. Weber, M. Waechter, S. Amend, S. Guthe, and M. Goesele. ACM Trans. Graph., 35 (6): 205 (2016)MVE - An image-based reconstruction environment.S. Fuhrmann, F. Langguth, N. Moehrle, M. Waechter, and M. Goesele. Computers & Graphics, (2015)Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-Based Modeling.H. Santo, M. Waechter, M. Samejima, Y. Sugano, and Y. Matsushita. ECCV (3), volume 11207 of Lecture Notes in Computer Science, page 3-19. Springer, (2018)Let There Be Color! Large-Scale Texturing of 3D Reconstructions.M. Waechter, N. Moehrle, and M. Goesele. ECCV (5), volume 8693 of Lecture Notes in Computer Science, page 836-850. Springer, (2014)A fast, massively parallel solver for large, irregular pairwise Markov random fields.D. Thuerck, M. Waechter, S. Widmer, M. von Buelow, P. Seemann, M. Pfetsch, and M. Goesele. High Performance Graphics, page 173-183. Eurographics Association, (2016)Using graphics processing units to investigate molecular coevolution.M. Waechter, K. Jaeger, D. Thuerck, S. Weissgraeber, S. Widmer, M. Goesele, and K. Hamacher. Concurrency and Computation: Practice and Experience, 26 (6): 1278-1296 (2014)Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction.M. Waechter, M. Beljan, S. Fuhrmann, N. Moehrle, J. Kopf, and M. Goesele. CoRR, (2016)Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction.M. Waechter, M. Beljan, S. Fuhrmann, N. Moehrle, J. Kopf, and M. Goesele. ACM Trans. Graph., 36 (1): 8:1-8:11 (2017)Is Your Permutation Algorithm Unbiased for n ≠ 2 m ?M. Waechter, K. Hamacher, F. Hoffgaard, S. Widmer, and M. Goesele. PPAM (1), volume 7203 of Lecture Notes in Computer Science, page 297-306. Springer, (2011)A fast, massively parallel solver for large, irregular pairwise Markov random fields.D. Thuerck, M. Waechter, S. Widmer, M. von Bülow, P. Seemann, M. Pfetsch, and M. Goesele. High Performance Graphics, page 173-183. Eurographics Association, (2016)