Stefan Ohrhallinger, Michael Wimmer
FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods
Computer Graphics Forum, 38(1):126-137, February 2019. [paper] [Replicability Source Code]

Stefan Ohrhallinger, Michael Wimmer
StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples
In Proceedings of Pacific Graphics 2018, pages 1-4. August 2018.
[image] [paper] [Extended version] [source]

Michael Pointner
Multi-Focal Image Generation using Automatic Depth-Based Focus Selection
[image] [thesis]

Nicolas Grossmann
Extracting Sensor Specific Noise Models
[thesis]

Thomas Köppel
Extracting Noise Models – considering X / Y and Z Noise
[thesis]

Mohamed Radwan, Stefan Ohrhallinger, Elmar Eisemann, Michael Wimmer
Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing
In Proceedings of Graphics Interface 2017, pages 82-89. May 2017.
[paper]

Siegfried Reinwald
Fast kNN in Screen Space on GPU
[image] [thesis]

Jeremy Forsythe, Vitaliy Kurlin, Andrew Fitzgibbon
Resolution-independent superpixels based on convex constrained meshes without small angles
Lecture Notes in Computer Science (LNCS), 10072:223-233, December 2016. [paper] [slides]

Stefan Ohrhallinger, Scott A. Mitchell, Michael Wimmer
Curve Reconstruction with Many Fewer Samples
Computer Graphics Forum, 35(5):167-176, 2016. [paper] [slides] [Reproducibility Source Code]