Emmanuel Promayon

Home Page Research Internship/Stages Teaching Contact

Jump to : Download | Abstract | Keyword | Contact | BibTex reference | EndNote reference |


S. Guy, J.-L. Haberbusch, E. Promayon, S. Mancini, S. Voros. Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy. Journal of Imaging, 8(3), 2022.


Download paper: Doi page (doi)

Download paper: (link)

Copyright notice: Disclaimer: this material is presented to ensure timely dissemination of scholarly and technical work. Files of articles may be covered by copyright. You may browse the articles at your convenience in the same spirit as you may read a journal or conference proceedings in a public library. Retrieving, copying, distributing these files, entirely or in parts, may violate copyright protection laws. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.


Multi-camera systems were recently introduced into laparoscopy to increase the narrow field of view of the surgeon. The video streams are stitched together to create a panorama that is easier for the surgeon to comprehend. Multi-camera prototypes for laparoscopy use quite basic algorithms and have only been evaluated on simple laparoscopic scenarios. The more recent state-of-the-art algorithms, mainly designed for the smartphone industry, have not yet been evaluated in laparoscopic conditions. We developed a simulated environment to generate a dataset of multi-view images displaying a wide range of laparoscopic situations, which is adaptable to any multi-camera system. We evaluated classical and state-of-the-art image stitching techniques used in non-medical applications on this dataset, including one unsupervised deep learning approach. We show that classical techniques that use global homography fail to provide a clinically satisfactory rendering and that even the most recent techniques, despite providing high quality panorama images in non-medical situations, may suffer from poor alignment or severe distortions in simulated laparoscopic scenarios. We highlight the main advantages and flaws of each algorithm within a laparoscopic context, identify the main remaining challenges that are specific to laparoscopy, and propose methods to improve these approaches. We provide public access to the simulated environment and dataset at https://gricad-gitlab.univ-grenoble-alpes.fr/guys/laparo_simulated_environment


[ Camitk ]


Emmanuel Promayon http://membres-timc.imag.fr/Emmanuel.Promayon

BibTex Reference

   Author = {Guy, S. and Haberbusch, J.-L. and Promayon, E. and Mancini, S. and Voros, S.},
   Title = {Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy},
   Journal = {Journal of Imaging},
   Volume = {8},
   Number = {3},
   Publisher = {{MDPI} {AG}},
   Year = {2022}

EndNote Reference [help]

Get EndNote Reference (.ref)

Home Page Research Internship/Stages Teaching Contact
This page was automatically generated thanks to JabRef and bib2html , 31 January 2023