English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper we address the problem of simultaneous pose estimation for multi-modal registration of images captured using a fiberscope (multispectral) inserted through the instrument channel of a commercial endoscope (RGB). We developed a virtual frame using the homography-derived extrinsics parameters using a chessboard pattern to estimate the initial pose of both cameras and simulate two types of fiberscope movements (i.e, insertion and precession). The fiberscope pose is calculated by the maximization of similarity measures between the 2D projection of the simulated fiberscope and the fiberscope tip segmentation from the endoscopic images. We used the virtual frame to generate sets of synthetic fiberscope data at two different poses and compared them after the maximization of similarity. The performance was assessed by measuring the reprojection error of the control points for each pair of images and the pose absolute error in a sequential movement mimicking scenario. The mean reprojection error was 0.38 ± 0.5 pixels and absolute error in the tracking scenario was 0.05 ± 0.07 mm.

3D Cylinder Pose Estimation by Maximization of Binary Masks Similarity: A simulation Study for Multispectral Endoscopy Image Registration