HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 9 results:
Author Title [ Type(Asc)] Year
Filters: Author is Breitenreicher, Dirk  [Clear All Filters]
Journal Article
D. Breitenreicher, Lellmann, J., and Schnörr, C., “Sparse Template-Based Variational Image Segmentation”, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.PDF icon Technical Report (866.28 KB)
D. Breitenreicher, Lellmann, J., and Schnörr, C., “Sparse Template-Based Variational Image Segmentation”, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.
D. Breitenreicher and Schnörr, C., “Robust 3D object registration without explicit correspondence using geometric integration”, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.PDF icon Technical Report (1.65 MB)
D. Breitenreicher and Schnörr, C., “Robust 3D object registration without explicit correspondence using geometric integration”, Machine Vision and Applications, vol. 21, pp. 601-611, 2010.
D. Breitenreicher and Schnörr, C., “Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data”, Int.~J.~Comp.~Vision, vol. 92, p. 32--52, 2011.PDF icon Technical Report (4.3 MB)
D. Breitenreicher and Schnörr, C., “Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data”, Int. J. Comp. Vision, vol. 92, pp. 32–52, 2011.
D. Breitenreicher, Lellmann, J., and Schnörr, C., “COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis”, Optimization Methods and Software, vol. 28, pp. 1081-1094, 2013.PDF icon Technical Report (1.69 MB)
Conference Paper
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.PDF icon Technical Report (752.29 KB)
D. Breitenreicher and Schnörr, C., “Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration Without Correspondence”, in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2009), 2009, vol. 5681, pp. 274-287.