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Daniel Schmitter
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Books and Theses
- 2020
- [b1]Daniel Schmitter:
On operations with binders and operations with equations. University of Bath, Somerset, UK, 2020
Journal Articles
- 2018
- [j11]Daniel Schmitter, Michael Unser:
Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain. IEEE Trans. Image Process. 27(1): 365-378 (2018) - 2017
- [j10]Anais Badoual, Paola Novara, Lucia Romani, Daniel Schmitter, Michael Unser:
A non-stationary subdivision scheme for the construction of deformable models with sphere-like topology. Graph. Model. 94: 38-51 (2017) - [j9]Daniel Schmitter, Julien Fageot, Anais Badoual, Pablo García-Amorena, Michael Unser:
Compactly-supported smooth interpolators for shape modeling with varying resolution. Graph. Model. 94: 52-64 (2017) - [j8]Daniel Schmitter, Pablo García-Amorena, Michael Unser:
Smooth shapes with spherical topology: Beyond traditional modeling, efficient deformation, and interaction. Comput. Vis. Media 3(3): 199-215 (2017) - [j7]Daniel Schmitter, Michael Unser:
Shape Projectors for Landmark-Based Spline Curves. IEEE Signal Process. Lett. 24(10): 1517-1521 (2017) - [j6]Anais Badoual, Daniel Schmitter, Virginie Uhlmann, Michael Unser:
Multiresolution Subdivision Snakes. IEEE Trans. Image Process. 26(3): 1188-1201 (2017) - 2016
- [j5]Daniel Schmitter, Ricard Delgado-Gonzalo, Michael Unser:
A family of smooth and interpolatory basis functions for parametric curve and surface representation. Appl. Math. Comput. 272: 53-63 (2016) - [j4]Anais Badoual, Daniel Schmitter, Michael Unser:
An Inner-Product Calculus for Periodic Functions and Curves. IEEE Signal Process. Lett. 23(6): 878-882 (2016) - 2015
- [j3]Daniel Schmitter, Ricard Delgado-Gonzalo, Michael Unser:
Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications. IEEE Signal Process. Lett. 22(11): 2097-2101 (2015) - [j2]Ricard Delgado-Gonzalo, Virginie Uhlmann, Daniel Schmitter, Michael Unser:
Snakes on a Plane: A perfect snap for bioimage analysis. IEEE Signal Process. Mag. 32(1): 41-48 (2015) - [j1]Ricard Delgado-Gonzalo, Daniel Schmitter, Virginie Uhlmann, Michael Unser:
Efficient Shape Priors for Spline-Based Snakes. IEEE Trans. Image Process. 24(11): 3915-3926 (2015)
Conference and Workshop Papers
- 2017
- [c8]Daniel Schmitter, Michael Unser:
Closed-form alignment of active surface models using splines. ISBI 2017: 219-222 - [c7]Harshit Gupta, Daniel Schmitter, Virginie Uhlmann, Michael Unser:
General surface energy for spinal cord and aorta segmentation. ISBI 2017: 319-322 - 2016
- [c6]Anais Badoual, Daniel Schmitter, Michael Unser:
Local refinement for 3D deformable parametric surfaces. ICIP 2016: 1086-1090 - [c5]Daniel Schmitter, Pablo García-Amorena, Michael Unser:
Smoothly deformable spheres: modeling, deformation, and interaction. SIGGRAPH Asia Technical Briefs 2016: 2 - 2015
- [c4]Daniel Schmitter, Christophe Gaudet-Blavignac, Davide Piccini, Michael Unser:
New parametric 3D snake for medical segmentation of structures with cylindrical topology. ICIP 2015: 276-280 - [c3]Anais Badoual, Daniel Schmitter, Michael Unser:
Locally refinable parametric snakes. ICIP 2015: 354-358 - [c2]Daniel Schmitter, Michael Unser:
Similarity-based shape priors for 2D spline snakes. ISBI 2015: 1216-1219 - 2014
- [c1]Daniel Schmitter, Ricard Delgado-Gonzalo, Gunnar Krueger, Michael Unser:
Atlas-free brain segmentation in 3D proton-density-like MRI images. ISBI 2014: 629-632
Coauthor Index
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