Research Assistant
| heise at in.tum.de | |
| Room | HB 2.02.21 (Parkring 13) 85748 Garching-Hochbrück |
| Phone | +49.89.289.17626 |
| Address | Institut für Informatik VI Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany |
Curriculum Vitæ
| 2010 - present | Research Assistant / Ph.D. Candidate at Department of Informatics VI (Robotics and Embedded Systems), Technische Universität München |
| 2010 | Diplom (with distinction) in Informatics at the Technische Universität München |
Research Interests
- Computer Vision
- 3D scene reconstruction
- Stereo / Multi-View stereo
- Optical Flow
- Visual Odometry / SLAM
- GPGPU computing
- Computational photography
- (Blind) deconvolution
Teaching
- Vorlesung Echtzeitsysteme (WS 2014/15)
- Praktikum Applied Computer Vision for Robotics (SS 2014)
- Praktikum Applied Computer Vision for Robotics (WS 2013/14)
- Übungsleitung Echtzeitsysteme (WS 2013/14)
- Praktikum Applied Computer Vision for Robotics (SS 2013)
- Vorlesung Echtzeitsysteme (WS 2012/13)
- Vorlesung Eingebettete Vernetzte Systeme (WS 2012/13)
- Praktikum Applied Computer Vision for Robotics (WS 2012/13)
- Seminar Computer Vision & Visual Tracking for Robotic Applications (SS 2012)
- Praktikum Grundlagen der Programmierung (WS 2011/12)
- Praktikum Grundlagen der Programmierung (SS 2011)
Publications
| [1] | Philipp Heise, Brian Jensen, Sebastian Klose, and Alois Knoll. Variational PatchMatch MultiView Reconstruction and Refinement. In International Conference on Computer Vision (ICCV), December 2015. [ .bib | .pdf ] |
| [2] | Philipp Heise, Brian Jensen, Sebastian Klose, and Alois Knoll. Fast Dense Stereo Correspondences by Binary Locality Sensitive Hashing. In IEEE International Conference on Robotics and Automation (ICRA), May 2015. [ .bib ] |
| [3] | Philipp Heise, Sebastian Klose, Brian Jensen, and Alois Knoll. PM-Huber: PatchMatch with Huber Regularization for Stereo Matching. In International Conference on Computer Vision (ICCV), December 2013. [ .bib | .pdf ] |
| [4] | Sebastian Klose, Philipp Heise, and Alois Knoll. Efficient Compositional Approaches for Real-Time Robust Direct Visual Odometry from RGB-D Data. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2013. [ .bib | .pdf ] |