ISPRS WG II/1
Image Orientation
Our Mission
ISPRS Working group II/1 aims to promote the development of new methodologies, algorithms, and applications related to image orientation in particular by fostering the cooperation between photogrammetry, computer vision, and robotics. State-of-the-art methods are to be tested with respect to general applicability, reliability, and performance, showing current limitations and potentially leading to further refinement and robustification. WG II/1 will therefore provide various synthetic and real test data sets for image calibration/orientation. We will invite researchers to evaluate their algorithms against known ground truth data with respect to general applicability and robustness.
Working Group Officers | ||
Chair | ||
![]() | Cyrill Stachniss Photogrammetry, IGG University of Bonn Bonn GERMANY +49 - 228 - 73 - 27 13
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Co-Chair | ||
![]() | Andrea Fusiello Dipartimento Politecnico di Ingegneria e Architettura Università degli Studi di Udine Udine ITALY +39 0432 558327
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Co-Chair | ||
![]() | Ronny Hänsch SAR Technology German Aerospace Center Wessling GERMANY +49 8153 - 28 3975
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Secretary | ||
![]() | Mozhdeh Shahbazi Department of Geomatics Engineering University of Calgary and Centre de géomatique du Québec Calgary and Saguenay CANADA +1 403 210 7710
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Supporters | ||
Industrial | ||
![]() | Michael Gruber Vexcel Imaging GmbH Graz AUSTRIA +43 664 882 388 08
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Key Support | ||
![]() | Yongjun Zhang School of Remote Sensing and Information Engineering Wuhan University CHINA
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Terms of Reference
- Orientation of non-conventional image sources, i.e. oblique images, cameras with rolling shutter, crowd-sourced images
- Feature extraction and stereo/multi-view sparse matching
- Image alignment and applications such as mosaicking, denoising, deblurring, super resolution, etc.
- Direct and indirect geo-referencing
- Intrinsic/extrinsic camera calibration including methods based on single images, online approaches, or handling ambiguous and degenerate configurations
- Structure from Motion and SLAM
- Geometric/algebraic computer vision, multi-image geometry, and modern approaches to Bundle Adjustment, e.g. large-scale or structureless BA
- Evaluation of performance, reliability, robustness and generality of methods