 | 2012 |
| 12 |  | Ke Zhu,
Pablo d'Angelo,
Matthias Butenuth:
Evaluation of Stereo Matching Costs on Close Range, Aerial and Satellite Images.
ICPRAM (1) 2012: 379-385 |
| 11 |  | Matthias Butenuth,
Christian Heipke:
Network snakes: graph-based object delineation with active contour models.
Mach. Vis. Appl. 23(1): 91-109 (2012) |
| 2011 |
| 10 |  | Uwe Stilla,
Franz Rottensteiner,
Helmut Mayer,
Boris Jutzi,
Matthias Butenuth:
Photogrammetric Image Analysis - ISPRS Conference, PIA 2011, Munich, Germany, October 5-7, 2011. Proceedings
Springer 2011 |
| 9 |  | Matthias Butenuth,
Florian Burkert,
Florian Schmidt,
Stefan Hinz,
Dirk Hartmann,
Angelika Kneidl,
André Borrmann,
Beril Sirmaçek:
Integrating pedestrian simulation, tracking and event detection for crowd analysis.
ICCV Workshops 2011: 150-157 |
| 8 |  | Ke Zhu,
Pablo d'Angelo,
Matthias Butenuth:
A Performance Study on Different Stereo Matching Costs Using Airborne Image Sequences and Satellite Images.
PIA 2011: 159-170 |
| 7 |  | Florian Burkert,
Matthias Butenuth:
Event Detection Based on a Pedestrian Interaction Graph Using Hidden Markov Models.
PIA 2011: 271-283 |
| 2010 |
| 6 |  | Matthias Butenuth:
Geometric refinement of road networks using network snakes and SAR images.
IGARSS 2010: 449-452 |
| 2009 |
| 5 |  | Daniel Frey,
Matthias Butenuth,
Stefan Hinz:
Automated Detection and Classification of Intact Road Networks in Multi-sensorial Spaceborne Imagery for Near-realtime Disaster Management.
IGARSS (4) 2009: 410-413 |
| 2008 |
| 4 |  | Matthias Butenuth:
Network snakes.
University of Hanover 2008: 1-102 |
| 2007 |
| 3 |  | Matthias Butenuth,
Fritz Jetzek:
Network Snakes for the Segmentation of Adjacent Cells in Confocal Images.
Bildverarbeitung für die Medizin 2007: 247-251 |
| 2005 |
| 2 |  | Matthias Butenuth,
Christian Heipke:
Network Snakes-Supported Extraction of Field Boundaries from Imagery.
DAGM-Symposium 2005: 417-424 |
| 2003 |
| 1 |  | Matthias Butenuth,
Bernd-Michael Straub,
Christian Heipke,
Felicitas Willrich:
Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge.
ICVS 2003: 162-171 |