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dc.contributor.authorBischofberger, Micha
dc.contributor.authorSchkommodau, Erik
dc.contributor.authorBöhringer, Stephan
dc.date.accessioned2022-10-12T09:50:09Z
dc.date.available2022-10-12T09:50:09Z
dc.date.issued2022-07-04
dc.identifier.issn0013-5585
dc.identifier.issn1862-278X
dc.identifier.doi10.1515/bmt-2021-0307
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/33936
dc.description.abstractThis paper proposes a conceptual method to calculate the pose of a stereo-vision camera relative to an artificial mandible without additional markers. The general method for marker-free navigation has four steps: 1) parallel image acquisition by a stereo-vision camera, 2) automatic identification of 2d point pairs (landmark pairs) in a left and a right image, 3) calculation of related 3d points in the joint camera coordinate system and 4) matching of 3d points generated to a preoperative 3d model (i.e., CT data based). To identify and compare landmarks in the acquired stereo images, well-known algorithms for landmark detection, description and matching were compared within the developed approach. Finally, the BRISK algorithm (Leutenegger S, Chli M, Siegwart RY. BRISK: Binary Robust invariant scalable keypoints. Proceedings of the IEEE International Conference on Computer Vision; 2011: 2548–2555) was used. The proposed method was implemented in MATLAB and validated with one artificial mandible. The accuracy evaluation of the camera positions calculated resulted in an average deviation error of 1.45 mm ± 0.76 mm to the real camera displacement. This value was calculated using only stereo images with over 100 reconstructed landmark pairs each. This provides the basis for marker-free navigation.en_US
dc.language.isoenen_US
dc.publisherDe Gruyteren_US
dc.relation.ispartofBiomedical Engineering / Biomedizinische Techniken_US
dc.accessRightsAnonymous*
dc.subjectcomputer assisted surgeryen_US
dc.subjectcomputer visionen_US
dc.subjectimage-matchingen_US
dc.subjectregistrationen_US
dc.subjectstereovisionen_US
dc.subject.ddc500 - Naturwissenschaftenen_US
dc.titleAutomatic landmark identification for surgical 3d-navigation – A proposed method for marker-free dental surgical navigation systemsen_US
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift*
dc.volume67en_US
dc.issue5en_US
dc.spatialBerlinen_US
fhnw.publicationStatePublisheden_US
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publicationen_US
fhnw.InventedHereYesen_US
fhnw.pagination411-417en_US
fhnw.IsStudentsWorknoen_US
fhnw.openAccessCategoryClosed


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