Institut für Informationsverarbeitung (TNT) - Homepage of Hanno Ackermann

Hanno Ackermann studied Computer Engineering at the University of Mannheim. He received his masters degree (Dipl.-Inf.) in 2003. From 10/2004 until 3/2008 he did his Phd at the University of Okayama, Japan. From 5/2008 until 9/2008 he worked as PostDoc at the Max-Planck-Institute for Computer Science in Saarbruecken, Germany. Since 10/2008 he is doing a PostDoc in the group of Prof. Rosenhahn at Leibniz University Hannover.

Publications

Show selected publications only

	H. Ackermann, B. Rosenhahn Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints The 8th European Conference on Visual Media Production (CVMP), November 2011 BibTeX
	F. R. Schmidt, H. Ackermann, B. Rosenhahn Multilinear Model Estimation with L2-Regularization 33rd Annual Symposium of the German Association for Pattern Recognition (DAGM) , September 2011 (pdf) BibTeX
	Hanno Ackermann, Bodo Rosenhahn A Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010 BibTeX
	Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thorsten Thormählen, Hans-Peter Seidel Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, San Francisco, USA, June 2010 (pdf) BibTeX
	Hanno Ackermann, Bodo Rosenhahn Trajectory Reconstruction for Affine Structure-from-Motion by Global and Local Constraints IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009, IEEE Computer Society, pp. 2890-2897, Miami, USA, June 2009 (pdf) BibTeX
	Hanno Ackermann, Kenichi Kanatani Fast projective reconstruction: Toward ultimate efficiency IPSJ Transactions on Computer Vision and Image Media, Vol. 49, pp. 68-78, March 2008 (pdf) BibTeX
	Hanno Ackermann, Kenichi Kanatani Iterative Low Complexity Factorization for Projective Reconstruction 2nd Workshop on Robot Vision, Springer, pp. 153-164, Auckland, New Zealand, February 2008, edited by Sommer, Gerald; Klette, Reinhard (pdf) BibTeX
	Hanno Ackermann, Kenichi Kanatani Robust and efficient 3-D reconstruction by self-calibration IAPR Conference on Machine Vision Applications (MVA 2007), pp. 178-181, Tokyo, Japan, May 2007 (pdf) BibTeX
	Kenichi Kanatani, Yasuyuki Sugaya, Hanno Ackermann Uncalibrated factorization using a variable symmetric affine camera 9th European Conference on Computer Vision (ECCV 2006), pp. 147-158, Graz, Austria, May 2006 (pdf) BibTeX

Other activities

The sources to the CVPR09 paper can be found here. This code is provided "as is" without any implied warranty for non-commercial use only. Permission to modify and distribute this code is granted. If you use this software or any modifications, please cite the corresponding CVPR paper.

Some short info about myself in Japanese.