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--- activities:theme1:projects:std:index [2015/12/15 13:46]
janin created
+++ activities:theme1:projects:std:index [2015/12/22 15:52]
janin
@@ Line 12: / Line 12: @@
 Detecting tools in surgical videos is an important indregient for context-aware computer-assisted intervention systems. We propose a new two-stage pipeline for tool detection and pose estimation in 2d images, named ShapeDetector. Our approach is data-driven and overcomes strong assumptions made regarding the geometry, number, and position of tools in the image. Our method has been validated for the following three pose parameters: overall position, tip location, and orientaton; using a new surgical tool dataset: the NeuroSurgicalTools data-set made of 2476 monocular images from neurosurgical microscopes during in-vivo surgeries.
-{{ :activities:theme1:projects:spm:image4.jpg?400 }}
+[[https://ecm.univ-rennes1.fr/nuxeo/nxdoc/default/55cab40f-6564-4026-99b5-37ffb10cdfb3/view_documents|{{ :activities:theme1:representativeimage.png?400 }}]]
 [[https://ecm.univ-rennes1.fr/nuxeo/nxdoc/default/55cab40f-6564-4026-99b5-37ffb10cdfb3/view_documents|**IMAGES AND ANNOTATIONS**]]
 We provide separate train and test splits as long as corresponding annotations in the LabelMe format (one annotation file per image).
-[[http://dbouget.bitbucket.org/2015_tmi_surgical_tool_detection/
+[[http://dbouget.bitbucket.org/2015_tmi_surgical_tool_detection/|More info]]
-|More info]]
 ====== Main Collaborators ======
-  * [[http://www.bic.mcgill.ca|Pr. Louis Collins MNI McGill University Canada]]
+  * [[https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/|Rodrigo Benenson, Bernt Schiele, Max-Planck-Institut für Informatik, in Saarbrücken, Germany.]]
+  * Funding by Carl Zeiss, Germany