Daniel Schmitter

Orcid: 0000-0002-4688-2809

According to our database1, Daniel Schmitter authored at least 20 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
On operations with binders and operations with equations.
PhD thesis, 2020

2018
Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain.
IEEE Trans. Image Process., 2018

2017
Multiresolution Subdivision Snakes.
IEEE Trans. Image Process., 2017

Shape Projectors for Landmark-Based Spline Curves.
IEEE Signal Process. Lett., 2017

Smooth shapes with spherical topology: Beyond traditional modeling, efficient deformation, and interaction.
Comput. Vis. Media, 2017

Compactly-supported smooth interpolators for shape modeling with varying resolution.
Graph. Model., 2017

A non-stationary subdivision scheme for the construction of deformable models with sphere-like topology.
Graph. Model., 2017

Closed-form alignment of active surface models using splines.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

General surface energy for spinal cord and aorta segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
An Inner-Product Calculus for Periodic Functions and Curves.
IEEE Signal Process. Lett., 2016

A family of smooth and interpolatory basis functions for parametric curve and surface representation.
Appl. Math. Comput., 2016

Smoothly deformable spheres: modeling, deformation, and interaction.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Technical Briefs, 2016

Local refinement for 3D deformable parametric surfaces.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Efficient Shape Priors for Spline-Based Snakes.
IEEE Trans. Image Process., 2015

Snakes on a Plane: A perfect snap for bioimage analysis.
IEEE Signal Process. Mag., 2015

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications.
IEEE Signal Process. Lett., 2015

Similarity-based shape priors for 2D spline snakes.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

New parametric 3D snake for medical segmentation of structures with cylindrical topology.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Locally refinable parametric snakes.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Atlas-free brain segmentation in 3D proton-density-like MRI images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014


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