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 StachnissCyrill Stachniss
Photogrammetry, IGG
University of Bonn
Bonn
Germany
+49 - 228 - 73 - 27 13

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Co-Chair  

Andrea FusielloAndrea Fusiello
Dipartimento Politecnico di Ingegneria e Architettura
Università degli Studi di Udine
Udine
Italy
+39 0432 558327

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Co-Chair  

Ronny HänschRonny Hänsch
Computer Vision & Remote Sensing
Technische Universität Berlin
Berlin
Germany
+49 30 314 73107

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Secretary  

Mozhdeh ShahbaziMozhdeh Shahbazi
Department of Geomatics Engineering
University of Calgary
Calgary
Canada
+1 403 210 7710

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Supporters

Industrial Representative  

Michael GruberMichael Gruber
Vexcel Imaging GmbH
Graz
Austria
+43 664 882 388 08

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Key Member  

Yongjun ZhangYongjun 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