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Final Program
| 08:00 |
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October 5 (Wednesday) |
October 6 (Thursday) |
October 7 (Friday) |
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Registration |
Registration |
Registration |
| 08:30 |
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| 09:00 |
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Opening |
Session 3
Object Detection |
Keynote 2
Horst Bischof |
| 09:30 |
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Keynote 1
Daniel Cremers |
| 10:00 |
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| 10:30 |
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Coffee Break |
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| 11:00 |
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Coffee Break |
Coffee Break |
Session 7
Image Processing and Visualization |
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| 11:30 |
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Session 1
Orientation |
Session 4
3D-Reconstruction |
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| 12:00 |
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| 12:30 |
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Closing |
| 13:00 |
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Farewell Snack |
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Lunch |
Lunch |
| 13:30 |
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| 14:00 |
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Session 2
Matching |
Session 5
Classification |
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| 14:30 |
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| 15:00 |
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| 15:30 |
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| 16:00 |
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Coffee Break |
Coffee Break |
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| 16:30 |
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Poster Session |
Session 6
People and Tracking |
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| 17:00 |
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| 17:30 |
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Ice Breaker |
| 18:00 |
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| 18:30 |
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| 19:00 |
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Social Event |
| 20:00 |
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| 21:00 |
| 22:00 |
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| 23:00 |
Keynote speakers
- Prof. Dr. Daniel Cremers
Convex Optimization Methods for Computer Vision
In his presentation he will introduce convex optimization methods which allow
to reconstruct geometry, color and motion of the observed world from
multiple images. The proposed provably convergent algorithms are easily
parallelized on GPUs leading to optimal or near-optimal estimates of
geometry, color and motion.
- Prof. Dr. Horst Bischof
Exploiting redundancy for reliable aerial computer vision
This talk will highlight some recent results in deriving information
(3D reconstruction, semantic segmentation, classification of objects) from a set of highly redundant images (acquired by air-planes or micro-aerial vehicles). The primary focus will be on the exploitation of the highly redundant data that is now available. We will demonstrate that redundancy is the key for fully automatic data processing, enabling a variety of large scale applications.
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October 5 (Wednesday) |
| 08:00 |
Registration |
| 09:00 |
Opening |
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Welcome Stilla U Host of PIA11, Technische Universitaet Muenchen (TUM), Germany
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| 09:30 |
Keynote 1 |
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Convex Optimization Methods for Computer Vision Cremers D Technische Universitaet Muenchen (TUM), Germany
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| 10:45 |
Coffee Break (Theresianum) |
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Session 1: Orientation
Chair: Hinz S Co-Chair: Butenuth M |
| 11:15 |
Efficient video mosaicking by multiple loop closing Meidow J Fraunhofer Institute of Optronics System, Technologies and Image Exploitation (IOSB), Germany |
| 11:40 |
Estimating the mutual orientation in a multi-camera system with a non overlapping field of view Muhle D1, Abraham S2, Heipke C1, Wiggenhagen M1 1Leibniz Universität Hannover, Germany
2Robert Bosch GmbH, Germany |
| 12:05 |
Absolute orientation of stereoscopic cameras by aligning contours in pairs of images and reference images Selby BP1,3, Sakas G1, Groch WD2, Stilla U3 1Medcom GmbH, Germany
2University of Applied Sciences Darmstadt, Germany
3Technische Universitaet Muenchen (TUM), Germany |
| 12:30 |
Matching between different image domains Toth C, Ju H, Grejner-Brzezinska D The Ohio State University, United States of America |
| 13:00 |
Lunch |
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Session 2: Matching
Chair: Foerstner W Co-Chair: Meidow J |
| 14:00 |
Reliable image matching with recursive tiling Novak D, Baltsavias E, Schindler K ETH Zürich, Switzerland |
| 14:25 |
In-strip matching and reconstruction of line segments from UHR aerial image triplets Ok AÖ1, Wegner JD2, Heipke C2, Rottensteiner F2, Sörgel U2, Toprak, V1 1Middle East Technical University, Turkey
2Leibniz Universität Hannover, Germany |
| 14:50 |
Refined non-rigid registration of a panoramic image sequence to a LiDAR point cloud Swart A1, Broere JEA2, Veltkamp RC1, Tan RT1 1Utrecht University, Netherlands; 2CycloMedia Technology B.V. |
| 15:15 |
Image sequence processing in stereovision mobile mapping - steps towards robust and accurate monoscopic 3D measurements and image-based georeferencing Huber F, Nebiker S, Eugster H University of Applied Sciences Northwestern Switzerland, Switzerland |
| 15:45 |
Coffee Break (Vorhoelzer Forum) |
| 16:15 |
Poster Session
Chair: Hoegner L |
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P1: Orientation |
| P1.1 |
Quality assessment of landmark based positioning using stereo cameras Hofmann S, Schulze MJ, Sester M, Brenner C Leibniz Universität Hannover, Germany
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| P1.2 |
Cross-covariance estimation for EKF-based inertial aided monocular SLAM Kleinert M1, Stilla U2 1Fraunhofer Institute of Optronics System, Technologies and Image Exploitation (IOSB), Germany
2Technische Universität München (TUM), Germany |
| P1.3 |
Accuracy evaluation for a precise indoor multi-camera pose estimation system Götz C, Tuttas S, Hoegner L, Eder K, Stilla U Technische Universität München (TUM), Germany |
| P1.4 |
Automatic geo-referencing of aerial images using airborne LiDAR points Yongjun Z, Xiaodong X Wuhan University, China |
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P2: Matching and Registration |
| P2.1 |
Multi-step and multi-photo matching for accurate 3D reconstruction Previtali M, Barazzetti L, Scaioni M Politecnico di Milano, Italy |
| P2.2 |
Area based stereo image matching technique using Hausdorff distance and texture analysis Joglekar JV, Gedam SS Indian Institute of Technology (IIT), Bombay, India |
| P2.3 |
An experimental study on registration three-dimensional range images using range and intensity data Altuntas C Selcuk University, Turkey |
| P2.4 |
Semi-automatic image-based co-registration of range imaging data with different characteristics Weinmann M, Wursthorn S, Jutzi B Karlsruhe Institute of Technology (KIT), Germany |
| P2.5 |
Stitching large maps from videos taken by a camera moving close over a plain using homography decomposition Michaelsen E Fraunhofer Institute of Optronics System, Technologies and Image Exploitation (IOSB), Germany |
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P3: Object Detection |
| P3.1 |
Window detection in sparse point clouds using indoor points Tuttas S, Stilla U Technische Universität München (TUM), Germany |
| P3.2 |
Interpretation of 2D and 3D building details on facades and roofs Meixner P1, Leberl F 1, Bredif M 2 1Graz University of Technology, Austria
2Institut Géographique National (IGN), France |
| P3.3 |
Detection of windows in IR building textures using masked correlation Iwaszczuk D, Hoegner L, Stilla U Technische Universität München (TUM), Germany |
| P3.4 |
Improved building detection using texture information Awrangjeb M, Zhang C, Fraser C The University of Melbourne, Australia |
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P4: 3D-Reconstruction |
| P4.1 |
Range and image data integraton for man-made object reconstruction Nex F, Remondino F Fondazione Bruni Kessler (FBK), Italy |
| P4.2 |
Estimation of solar radiation on building roofs in mountanous areas Agugiaro G 1, Remondino F 1, Stevanato G 2, De Filippi R 1, Furlanello C 1 1Fondazione Bruni Kessler (FBK), Italy
2University of Padova, Italy |
| P4.3 |
Towards airborne single-pass decimeter resolution SAR interferometry over urban areas Schmitt M1, Magnard C2, Brehm T3, Silla U1 1Technische Universität München (TUM), Germany
2University of Zurich, Switzerland
3Fraunhofer Institute for High-Frequency Physics and Radar Techniques, Germany |
| P4.4 |
Smart filtering of interferometric phases for enhancing building reconstruction Thiele A 1,2, Dubios C 1, Cadario E 2, Hinz S 1 1Karlsruhe Institute of Technology (KIT), Germany
2Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Germany |
| P4.5 |
Photogrammetric monitoring of under water erosion in the vicinity of cylindrical bridge piers Eder K , Rapp C, Kohl V, Hanrieder B, Stilla U Technische Universität München (TUM), Germany |
| P4.6 |
Calibration evaluation and calibration stability monitoring of fringe projection based 3D scanners Bräuer-Burchardt C, Breitbarth A, Munkelt C, Heinze M, Kühmstedt P, Notni G Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Germany |
| P4.7 |
Simulation of close-range photogrammetric systems for industrial surface inspection Becker T 1, Özkul 1, Stilla U 2 1BMW Group AG, Germany
2Technische Universität München (TUM), Germany |
| P4.8 |
DEM generation by means of new digital aerial cameras Höhle J Aalborg University, Denmark |
| P4.9 |
Assessment of Radarsat-2 HR stereo data over Canadian northern nad arctic study sites Toutin T 1, Omari K 1, Blondel E 1,2, Clavet D 3, Schmitt CV 2 1Canada Centre for Remote Sensing, Canada
2GISMatix Inc., Canada
3Centre of Topographic Information, Canada |
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P5: Classification |
| P5.1 |
Street region detection from normalized digital surface model and laser data intensity image Mendes TSG, Dal Poz AP Sao Paulo State University, Brazil |
| P5.2 |
Using full waveform data in urban areas Molnar B1,2, Laky S2, Toth C 1 1The Ohio State University, United States of America
2Budapest University of Technology and Economics, Hungary |
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P6: Vehicles and People |
| P6.1 |
Vehicle detection from an image sequence collected by a hovering helicopter Karimi NF 1, Lindenbergh R2 1Leiden University Medical Center, The Netherlands
2Delft University of Technology, The Netherlands |
| P6.2 |
Motion component supported boosted classifier for car detection in aerial imagery Türmer S 1, Leitloff J 1, Reinartz P 1, Stilla U 2 1German Aerospace Center (DLR), Germany
2Technische Universität München (TUM) |
| P6.3 |
Automatic crowd analysis from very high resolution satellite images Sirmacek B, Reinartz P German Aerospace Center (DLR), Germany |
| 17:30 |
Ice Breaker (Vorhoelzer Forum) |
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October 6 (Thursday) |
| 08:00 |
Registration |
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Session 3: Object Detection
Chair: Rottensteiner F Co-Chair: Zhang Y |
| 09:00 |
Gable roof detection in terrestrial images Brandou V, Baillard C SIRADEL, France |
| 09:25 |
Multi-spectral false color shadow detection Teke M1, Baseski E1, Yuksel B1, Ok AO2, Senaras C1 1HAVELSAN A.S.
2Middle East Technical University, Turkey |
| 09:50 |
Extraction of non-forest trees for biomass assessment based on airborne and terrestrial LiDAR data Rentsch M1, Krismann A2, Krzystek P1 1Munich University of Applied Sciences, Germany
2University of Hohenheim, Germany |
| 10:15 |
Change detection in a topographic building database using submetric satellite images Le Bris A1, Chehata N1,2 1Institut Géographique National (IGN), France
2Bordeaux University, France |
| 10:45 |
Coffee Break (Theresianum) |
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Session 4: 3D Reconstruction and DEM
Chair: Mayer H Co-Chair: Mallet C |
| 11:15 |
Fast marching for robust surface segmentation Schindler F, Förstner W University of Bonn, Germany |
| 11:40 |
A performance study on different stereo matching costs using airborne image sequences and satellite images Zhu K1, d'Angelo P2, Butenuth M1 1Technische Universität München (TUM), Germany
2German Aerospace Center (DLR), Germany |
| 12:05 |
Fusion of digital elevation models using sparse represenations Papasaika H1, Kokiopoulou E2, Baltsavias E1, Schindler K1, Kressner D2 1ETH Zürich, Switzerland
2Ecole Polytechnique Federale de Lausanne, Switzerland |
| 12:30 |
Change detection in urban areas by direct comparison of multi-view and multi-temporal ALS data Hebel M1, Arens M1, Stilla U2 1Fraunhofer Institute of Optronics System, Technologies and Image Exploitation (IOSB), Germany
2Technische Universität München (TUM), Germany |
| 13:00 |
Lunch |
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Session 5: Classification
Chair: Haala N Co-Chair: Meyer FJ |
| 14:00 |
Regionwise classification of building facade images Yang MY, Förstner W University of Bonn, Germany |
| 14:25 |
Supervised classification of multiple view images in object space for seismic damage assessment Gerke M University of Twente, The Netherlands |
| 14:50 |
Conditional random fields for urban scene classification with full waveform LiDAR data Niemeyer J1, Wegner JD1, Mallet C2, Rottensteiner F1, Sörgel U1 1Leibniz Universität Hannover, Germany
2Institut Géographique National (IGN), France |
| 15:15 |
Object-based forest change detection using high resolution satellite images Chehata N1, Orny C1,2, Boukir S1, Guyon D2 1University of Bordeaux, France
2INRA, France |
| 15:45 |
Coffee Break (Theresianum) |
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Session 6: People and Tracking
Chair: Toth CK Co-Chair: Gerke M |
| 16:15 |
Statistical unbiased background modeling for moving platform Kirchhof M, Stilla U Technische Universität München (TUM), Germany |
| 16:40 |
A scheme for the detection and tracking of people tuned for aerial image sequences Schmidt F, Hinz S Karlsruhe Institute of Technology (KIT), Germany |
| 17:05 |
Event detection based on a pedestrian interaction graph using hidden markov models Burkert F, Butenuth M Technische Universität München (TUM), Germany |
| 17:30 |
Trajectory extraction and density analysis of intersecting pedestrian flows from video recordings Plaue M, Chen M, Bärwolff G, Schwandt H Technische Universität Berlin, Germany |
| 19:00 |
Social Event (Bavarian Evening) |
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October 7 (Friday) |
| 08:00 |
Registration |
| 09:00 |
Keynote 2
Chair: Mayer H |
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Exploiting redundancy for reliable aerial computer vision Bischof H Universität Graz, Austria
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| 10:15 |
Coffee Break (Theresianum) |
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Session 7: Image Processing and Visualization
Chair: Soergel U Co-Chair: Jutzi B |
| 10:45 |
Fast and accurate visibility computation in urban scenes Vallet B, Houzay E Institut Géographique National (IGN), France |
| 11:10 |
Reflectance estimation from urban terrestrial images: Validation of a symbolic ray-tracing method on synthetic data Coubard F1, Brédif M1, Paparoditis N1, Briottet X2 1Institut Géographique National (IGN), France
2ONERA, France |
| 11:25 |
Multiscale Haar transform for blur estimation from a set of images Lelégard L, Vallet B, Brédif M Institut Géographique National (IGN), France |
| 11:50 |
Measurement accuracy of center location of a circle by centroid method Matsuoka R1,2, Shirai N1, Asonuma K1, Sone M2, Sudo N2, Yokotsuka H2 1Kokusai Kogyo Co., Ltd., Japan
2Tokai University, Japan |
| 12:15 |
Closing
Chair: Rottensteiner F |
| 12:30 |
Farewell Snack (Theresianum) |
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Program
