2024W

• Seminar in Computer Graphics / 186.175 / SE

2025S

• Modeling in Computer Graphics / 186.853 / VU
• Scientific Research and Writing / 193.052 / SE

• Modeling the World at Scale
  2020 – 2026 / Vienna Science and Technology Fund (WWTF)
  Publications: 153676 / 175713 / 189824 / 193751 / 192690 / 196496 / 197864 / 201670 / 202374 / 202064 / 208566
• Photogrammetry made easy
  2020 – 2024 / netidee Projektförderung
• Superhumans - Walking Through Walls
  2019 – 2022 / Austrian Science Fund (FWF)
  Publications: 175713 / 189824 / 192690 / 196496 / 197864

2025

• The Sampling-Reconstruction Dual / Ohrhallinger, S. (2025, February). The Sampling-Reconstruction Dual [Keynote Presentation]. Infinite-dimensional Geometry: Theory and Applications, Austria.

2024

• Reconstructing Curves from Sparse Samples on Riemannian Manifolds / Marin, D., Maggioli, F., Melzi, S., Ohrhallinger, S., & Wimmer, M. (2024, June 25). Reconstructing Curves from Sparse Samples on Riemannian Manifolds [Conference Presentation]. Symposium on Geometry Processing, Boston, United States of America (the). http://hdl.handle.net/20.500.12708/202064
  Project: Modeling the World at Scale (2020–2026)
• Distributed Surface Reconstruction / Marin, D., Komon, P., Ohrhallinger, S., & Wimmer, M. (2024). Distributed Surface Reconstruction. In L. Liu & M. Averkiou (Eds.), EG 2024 - Posters. https://doi.org/10.2312/egp.20241037
  Project: Modeling the World at Scale (2020–2026)
• BallMerge: High‐quality Fast Surface Reconstruction via Voronoi Balls / Parakkat, A. D., Ohrhallinger, S., Eisemann, E., & Memari, P. (2024). BallMerge: High‐quality Fast Surface Reconstruction via Voronoi Balls. Computer Graphics Forum, 43(2). https://doi.org/10.1111/cgf.15019
  Download: PDF (72.7 MB)
  Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)
• Reconstructing Curves from Sparse Samples on Riemannian Manifolds / Marin, D., Maggioli, F., Melzi, S., Ohrhallinger, S., & Wimmer, M. (2024). Reconstructing Curves from Sparse Samples on Riemannian Manifolds. Computer Graphics Forum, 43(5), Article e15136. https://doi.org/10.1111/cgf.15136
  Project: Modeling the World at Scale (2020–2026)
• SING: Stability-Incorporated Neighborhood Graph / Marin, D., Parakkat, A. D., Ohrhallinger, S., Wimmer, M., Oudot, S., & Memari, P. (2024). SING: Stability-Incorporated Neighborhood Graph. In T. Igarashi, A. Shamir, & H. Zhang (Eds.), SA ’24: SIGGRAPH Asia 2024 Conference Papers (pp. 1–10). Association for Computing Machinery. https://doi.org/10.1145/3680528.3687674
  Project: Modeling the World at Scale (2020–2026)
• Parameter-free connectivity for point clouds / Marin, D., Ohrhallinger, S., & Wimmer, M. (2024). Parameter-free connectivity for point clouds. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP (pp. 92–102). SciTePress, Science and Technology Publications. https://doi.org/10.34726/6100
  Download: Paper (2.09 MB)
  Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)

2023

• Parameter-Free and Improved Connectivity for Point Clouds / Marin, D., Ohrhallinger, S., & Wimmer, M. (2023). Parameter-Free and Improved Connectivity for Point Clouds. In G. Singh & M. Chu (Eds.), Eurographics 2023 - Posters (pp. 5–6). Eurographics. https://doi.org/10.2312/egp.20231023
  Downloads: Paper (506 KB) / Poster (9.92 MB)
  Project: Modeling the World at Scale (2020–2026)
• Feature-Sized Sampling for Vector Line Art / Ohrhallinger, S., Parakkat, A. D., & Memari, P. (2023). Feature-Sized Sampling for Vector Line Art. In Pacific Graphics 2023 - Short Papers and Posters. The 31th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2023), Daejeon, Korea (the Republic of). https://doi.org/10.2312/pg.20231268
  Download: PDF (7.63 MB)
  Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)

2022

• ECCV 2022 Tutorial on Outline and Shape Reconstruction in 2D / Ohrhallinger, S., Parakkat, A. D., & Peethambaran, jiju. (2022, October 23). ECCV 2022 Tutorial on Outline and Shape Reconstruction in 2D [Presentation]. ECCV 2022, Tel Aviv, Israel. http://hdl.handle.net/20.500.12708/153676
  Project: Modeling the World at Scale (2020–2026)
• SIGDT: 2D Curve Reconstruction / Marin, D., Ohrhallinger, S., & Wimmer, M. (2022). SIGDT: 2D Curve Reconstruction. In Pacific Graphics 2022 (pp. 25–36). The Eurographics Association and John Wiley & Sons Ltd. https://doi.org/10.1111/cgf.14654
  Download: PDF (2.52 MB)
  Projects: Modeling the World at Scale (2020–2026) / Superhumans (2019–2022)
• SIG-based Curve Reconstruction / Marin, D., Ohrhallinger, S., & Wimmer, M. (2022). SIG-based Curve Reconstruction. In Eurographics 2022 - Posters. Eurographics 2022 - 43rd Annual Conference of the European Association for Computer Graphics, Reims, France. The Eurographics Association. https://doi.org/10.2312/egp.20221013
  Downloads: PDF (185 KB) / Poster (1.55 MB)
• Curve/Surface Reconstruction and Occlusion-enabled Applications / Ohrhallinger, S. (2022). Curve/Surface Reconstruction and Occlusion-enabled Applications [Presentation]. Invited Talk, Saclay-Paris, France.

2021

• Fast occlusion-based point cloud exploration / Radwan, M., Ohrhallinger, S., & Wimmer, M. (2021). Fast occlusion-based point cloud exploration. In The Visual Computer (pp. 2769–2781). Springer. https://doi.org/10.1007/s00371-021-02243-x
• 2D Points Curve Reconstruction Survey and Benchmark / Ohrhallinger, S., Peethambaran, J., Parakkat, A. D., Dey, T. K., & Muthuganapathy, R. (2021). 2D Points Curve Reconstruction Survey and Benchmark. In Computer Graphics Forum (pp. 611–632). Eurographics Association. https://doi.org/10.1111/cgf.142659

2020

• Pose to Seat: Automated design of body-supporting surfaces / Leimer, K., Winkler, A., Ohrhallinger, S., & Musialski, P. (2020). Pose to Seat: Automated design of body-supporting surfaces. Computer Aided Geometric Design, 79(101855), 101855. https://doi.org/10.1016/j.cagd.2020.101855
• Points2Surf Learning Implicit Surfaces from Point Clouds / Erler, P., Guerrero, P., Ohrhallinger, S., Wimmer, M., & Mitra, N. (2020). Points2Surf Learning Implicit Surfaces from Point Clouds. In Springer Verlag (Ed.), Computer Vision – ECCV 2020 (pp. 108–124). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-030-58558-7_7
• Fast Out‐of‐Core Octree Generation for Massive Point Clouds / Schütz, M., Ohrhallinger, S., & Wimmer, M. (2020). Fast Out‐of‐Core Octree Generation for Massive Point Clouds. Computer Graphics Forum, 39(7), 155–167. https://doi.org/10.1111/cgf.14134

2018

• StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples / Ohrhallinger, S., & Wimmer, M. (2018). StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples. In Proceedings of Pacific Graphics 2018. Pacific Graphics, Hong Kong. H. Fu, A. Ghosh, and J. Kopf (Guest Editors). http://hdl.handle.net/20.500.12708/57414
• FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods / Ohrhallinger, S., & Wimmer, M. (2018). FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods. In Proceedings of Symposium of Geometry Processing (pp. 1–11). Computer Graphics Forum. http://hdl.handle.net/20.500.12708/57356

2017

• Cut, Drag, Paint: Occlusion-Aware Surface Processing / Radwan, M., Ohrhallinger, S., Eisemann, E., & Wimmer, M. (2017). Cut, Drag, Paint: Occlusion-Aware Surface Processing. In Proceedings of Graphics Interface 2017 (pp. 82–89). Canadian Human-Computer Communications Society. https://doi.org/10.20380/GI2017.11

2016

• Curve Reconstruction with Many Fewer Samples / Ohrhallinger, S., Wimmer, M., & Mitchell, S. A. (2016). Curve Reconstruction with Many Fewer Samples. In Computer Graphics Forum (pp. 167–176). Computer Graphics Forum. http://hdl.handle.net/20.500.12708/56616

2014

• Efficient Collision Detection While Rendering Dynamic Point Clouds / Radwan, M., Ohrhallinger, S., & Wimmer, M. (2014). Efficient Collision Detection While Rendering Dynamic Point Clouds. In Graphics Interface (pp. 25–33). Proceedings of the 2014 Graphics Interface Conference. http://hdl.handle.net/20.500.12708/55201

2013

• Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets / Ohrhallinger, S., Mudur, S., & Wimmer, M. (2013). Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets. COMPUTERS & GRAPHICS-UK, 37(6), 645–658. https://doi.org/10.1016/j.cag.2013.05.016
• An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points / Ohrhallinger, S., & Mudur, S. (2013). An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points. Computer Graphics Forum, 32(8), 72–88. http://hdl.handle.net/20.500.12708/156000
• Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets / Ohrhallinger, S., Mudur, S., & Wimmer, M. (2013). Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets. Shape Modeling International (SMI), Bournemouth, UK, EU. http://hdl.handle.net/20.500.12708/85616
• An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points / Ohrhallinger, S., & Mudur, S. (2013). An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points. Eurographics Symposium on Rendering 2013, Zaragoza, Spain, EU. http://hdl.handle.net/20.500.12708/85715

2012

• Minimising Longest Edge for Closed Surface Construction from Unorganised 3D Point Sets / Ohrhallinger, S., & Mudur, S. (2012). Minimising Longest Edge for Closed Surface Construction from Unorganised 3D Point Sets. In A. Fusiello & M. Wimmer (Eds.), Eurographics 2012 (pp. 25–26). Eurographics Association. https://doi.org/10.2312/conf/EG2012/posters/025-026

2011

• Interpolating an unorganized 2D point cloud with a single closed shape / Ohrhallinger, S., & Mudur, S. P. (2011). Interpolating an unorganized 2D point cloud with a single closed shape. Computer-Aided Design, 43(12), 1629–1638. https://doi.org/10.1016/j.cad.2011.09.009

• Proximity-Based Point Cloud Reconstruction / Marin, D. (2025). Proximity-Based Point Cloud Reconstruction [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.128668
  Download: PDF (37.4 MB)
• Global registration of range scans with match tolerance verification / Laager, F. (2018). Global registration of range scans with match tolerance verification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.25882
  Download: PDF (10.7 MB)
• Local reconstruction using isotropically fair neighborhoods / Prieler, D. (2016). Local reconstruction using isotropically fair neighborhoods [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.22607
  Download: PDF (2.54 MB)