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 cyrill.stachniss@igg.uni-bonn.de home page
Co-Chair
	Andrea Fusiello   Dipartimento Politecnico di Ingegneria e Architettura Università degli Studi di Udine Udine ITALY +39 0432 558327 andrea.fusiello@uniud.it home page
Co-Chair
	Ronny Hänsch   SAR Technology German Aerospace Center Wessling GERMANY +49 8153 - 28 3975 rww.haensch@gmail.de home page
Secretary
	Mozhdeh Shahbazi   Department of Geomatics Engineering University of Calgary and Centre de géomatique du Québec Calgary and Saguenay CANADA +1 403 210 7710 mozhdeh.shahbazi@ucalgary.ca home page
Supporters
Industrial Representative
	Michael Gruber   Vexcel Imaging GmbH Graz AUSTRIA +43 664 882 388 08 michael.gruber@vexcel-imaging.com home page
Key Support Personnel
	Yongjun Zhang   School of Remote Sensing and Information Engineering Wuhan University CHINA zhangyj@whu.edu.cn home page

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