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Found 7 papers, 0 papers with code
Real-time Nonrigid Mosaicking of Laparoscopy Images
The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context.
Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video
Since the tissue models obtained by stereo matching are limited to the field of view of the imaging modality, we propose a model mosaicking method by using a novel feature-based simultaneously localization and mapping (SLAM) method to align the models.
Re-weighting and 1-Point RANSAC-Based PnP Solution to Handle Outliers
We propose a fast PnP solution named R1PPnP to handle outliers by utilizing a soft re-weighting mechanism and the 1-point RANSAC scheme.
Smooth Deformation Field-based Mismatch Removal in Real-time
To solve this problem, we first propose an algorithm based on the re-weighting and 1-point RANSAC strategy (R1P-RNSC), which is a parametric method under a reasonable assumption that the non-rigid deformation can be approximately represented by multiple locally rigid transformations.
Real-time Surface Deformation Recovery from Stereo Videos
In this paper, we propose an approach to estimate the deformation of tissue surface from stereo videos in real-time, which is capable of handling occlusion, smooth surface and fast deformation.
Implicit Tubular Surface Generation Guided by Centerline
Most machine learning-based coronary artery segmentation methods represent the vascular lumen surface in an implicit way by the centerline and the associated lumen radii, which makes the subsequent modeling process to generate a whole piece of watertight coronary artery tree model difficult.
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features
On a dataset consisting of 139 CT volumes, a 5-fold cross validation shows the segmentation error is $1. 21 \pm 0. 11$ for LV endocardium and $1. 23 \pm 0. 11$ millimeters for epicardium.
