Fast High-Resolution Disparity Estimation for Laparoscopic Surgery

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


An intraoperative Image Guidance System (IGS), facilitating the localisation of pathological tissue or vasculature, could greatly support medical decisions during minimally invasive interventions. In our IGS for laparoscopic surgery, the 3D reconstruction of abdominal organs requires fast and accurate depth information from stereo images. To this end, we employ a state-of-the-art algorithm for dense disparity estimation. To cope with low processing performance, previous solutions used only downscaled images, and hence produced disparities of low quality. In this work, we present methods and implementations which improve and accelerate disparity estimation such that it runs with FullHD resolution images at full camera framerate.


Original languageEnglish
Title of host publicationBioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings
PublisherIEEE Xplore
Number of pages5
ISBN (electronic)9781665469173
ISBN (print)978-1-6654-6918-0
Publication statusPublished - 15 Oct 2022


Title2022 IEEE Biomedical Circuits and Systems Conference
SubtitleIntelligent Biomedical Systems for a Better Future
Abbreviated titleBioCAS 2022
Duration13 - 15 October 2022
LocationCYFF International Convention Center & online
CountryTaiwan, Province of China

External IDs

Mendeley 55861b01-23cb-3ec3-b412-b905bc02e7d8
Scopus 85142932768
ORCID /0000-0001-7436-0103/work/142240361
ORCID /0009-0007-1588-117X/work/160952921



  • Pathology, Minimally invasive surgery, Three-dimensional displays, Image resolution, Circuits and systems, Estimation, Biological systems, Image guided surgery, neural network, machine vision, multithreading, parallelisation, stereo disparity