SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction.

ABSTRACT: In computer vision, reference datasets from simulation and real outdoor scenes have been highly successful in promoting algorithmic development in stereo reconstruction. Endoscopic stereo reconstruction for surgical scenes gives rise to specific problems, including the lack of clear corner features, highly specular surface properties and the presence of blood and smoke. These issues present difficulties for both stereo reconstruction itself and also for standardised dataset production. Previous datasets have been produced using computed tomography (CT) or structured light reconstruction on phantom or ex vivo models. We present a stereo-endoscopic reconstruction validation dataset based on cone-beam CT (SERV-CT). Two ex vivo small porcine full torso cadavers were placed within the view of t

SUBMITTER: Edwards PJE 

PROVIDER: S-EPMC8961000 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature