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ToF meets RGB: novel multi-sensor super-resolution for hybrid 3-D endoscopy.

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Bibliographic Details
Title: ToF meets RGB: novel multi-sensor super-resolution for hybrid 3-D endoscopy.
Authors: Köhler T; Pattern Recognition Lab, Friedrich-Alexander-Universitäit Erlangen-Nürnberg. thomas.koehler@fau.de, Haase S; Pattern Recognition Lab, Friedrich-Alexander-Universitäit Erlangen-Nürnberg., Bauer S; Pattern Recognition Lab, Friedrich-Alexander-Universitäit Erlangen-Nürnberg., Wasza J; Pattern Recognition Lab, Friedrich-Alexander-Universitäit Erlangen-Nürnberg., Kilgus T; Div. Medical and Biological Informatics Junior Group: Computer-Assisted, Interventions, German Cancer Research Center (DKFZ) Heidelberg., Maier-Hein L; Div. Medical and Biological Informatics Junior Group: Computer-Assisted, Interventions, German Cancer Research Center (DKFZ) Heidelberg., Feubner H; Minimally Invasive Therapy and Intervention, Technical University of Munich., Hornegger J; Pattern Recognition Lab, Friedrich-Alexander-Universitäit Erlangen-Nürnberg.
Source: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2013; Vol. 16 (Pt 1), pp. 139-46.
Publication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101249582 Publication Model: Print Cited Medium: Print NLM ISO Abbreviation: Med Image Comput Comput Assist Interv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1007/978-3-642-40811-3_18