Sylvain Bernhardt
University of Strasbourg
8 Papers
19 Citations
Sylvain Bernhardt is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Augmented reality & 3D reconstruction. The author has an hindex of 5, co-authored 8 publications. Previous affiliations of Sylvain Bernhardt include University of Lyon & University of British Columbia.
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Papers
The status of augmented reality in laparoscopic surgery as of 2016.
TL;DR: A comprehensive review of all the different methods proposed by the literature concerning augmented reality in intra-abdominal minimally invasive surgery (also known as laparoscopic surgery) in order to better grasp the current landscape of the field.
296
Automatic localization of endoscope in intraoperative CT image: A simple approach to augmented reality guidance in laparoscopic surgery
Sylvain Bernhardt,Stéphane Nicolau,Vincent Agnus,Luc Soler,Christophe Doignon,Jacques Marescaux +5 more
TL;DR: This article proposes a new approach to automatically register the reconstruction from an intraoperative CT acquisition with the static endoscopic view, by locating the endoscope tip in the volume data using standard image processing algorithms.
56
Robust dense endoscopic stereo reconstruction for minimally invasive surgery
Sylvain Bernhardt,Julien Abinahed,Rafeef Abugharbieh +2 more
- 05 Oct 2012
TL;DR: This paper proposes a simple yet powerful approach for dense matching between the two stereoscopic camera views and for reconstruction of the 3D scene in minimally invasive surgery using clinical in-vivo stereo data.
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Automatic detection of endoscope in intraoperative CT image: Application to AR guidance in laparoscopic surgery.
Sylvain Bernhardt,Stéphane Nicolau,Vincent Agnus,Luc Soler,Christophe Doignon,Jacques Marescaux +5 more
- 01 Apr 2014
TL;DR: This article proposes a new approach to automatically registering the reconstruction from an intraoperative CT acquisition with the static endoscopic view, by locating the endoscope tip consciously intruding in the model, which does not require any external tracking apparatus nor analysis of the endoscopic image.
19
Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image
Sylvain Bernhardt,Stéphane Nicolau,Adrien Bartoli,Vincent Agnus,Luc Soler,Christophe Doignon +5 more
- 05 Oct 2015
TL;DR: This work proposes to complete the registration of preoperative 3D data onto the intraoperative laparoscopic view by using local shading constraints with a piecewise constant albedo hypothesis on the surface of the surgical scene and shows a millimetric registration accuracy.
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