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Absolute Orientation of Stereoscopic Cameras by Aligning Contours in Pairs of Images and Reference Images

Selby, Boris Peter and Sakas, Georgios and Groch, Wolfgang-Dieter and Stilla, Uwe (2011):
Absolute Orientation of Stereoscopic Cameras by Aligning Contours in Pairs of Images and Reference Images.
In: Lecture Notes in Computer Science (LNCS); 6952, Springer, Berlin, Heidelberg, New York, In: Photogrammetric Image Analysis, pp. 25-36, DOI: 10.1007/978-3-642-24393-6₃,
[Conference or Workshop Item]

Abstract

Most approaches use corresponding points to determining an object's orientation from stereo-images, but this is not always possible. Imaging modalities that do not produce correspondences for different viewing angles, as in X-ray imaging, require other procedures. Our method works on contours in images that do not need to be equivalent in length or contain corresponding points. It is able to determine corresponding contours and resamples those, creating new sets of corresponding points for registration. Two sets of in-plane transformations from a stereo-system are used to determine spatial orientation. The approach was tested with three ground truth datasets and sub-pixel accuracy was achieved. The approach is originally designed for X-ray based patient alignment, but it is versatile and can also be employed in other close range photogrammetry applications.

Item Type: Conference or Workshop Item
Erschienen: 2011
Creators: Selby, Boris Peter and Sakas, Georgios and Groch, Wolfgang-Dieter and Stilla, Uwe
Title: Absolute Orientation of Stereoscopic Cameras by Aligning Contours in Pairs of Images and Reference Images
Language: English
Abstract:

Most approaches use corresponding points to determining an object's orientation from stereo-images, but this is not always possible. Imaging modalities that do not produce correspondences for different viewing angles, as in X-ray imaging, require other procedures. Our method works on contours in images that do not need to be equivalent in length or contain corresponding points. It is able to determine corresponding contours and resamples those, creating new sets of corresponding points for registration. Two sets of in-plane transformations from a stereo-system are used to determine spatial orientation. The approach was tested with three ground truth datasets and sub-pixel accuracy was achieved. The approach is originally designed for X-ray based patient alignment, but it is versatile and can also be employed in other close range photogrammetry applications.

Series Name: Lecture Notes in Computer Science (LNCS); 6952
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Virtual engineering, Research Area: Confluence of graphics and vision, Stereo camera systems, Registration, Alignments
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Photogrammetric Image Analysis
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-24393-6₃
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