Search Results for author: Jagadeesan Jayender

Found 7 papers, 0 papers with code

Real-time Nonrigid Mosaicking of Laparoscopy Images

no code implementations12 Mar 2021 Haoyin Zhou, Jagadeesan Jayender

The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context.

Simultaneous Localization and Mapping

F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration

no code implementations15 Sep 2020 Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender

In this paper, we propose a novel unsupervised registration network, namely the Full-Resolution Residual Registration Network (F3RNet), for deformable registration of severely deformed organs.

Image Registration

Re-weighting and 1-Point RANSAC-Based PnP Solution to Handle Outliers

no code implementations16 Jul 2020 Haoyin Zhou, Tao Zhang, Jagadeesan Jayender

We propose a fast PnP solution named R1PPnP to handle outliers by utilizing a soft re-weighting mechanism and the 1-point RANSAC scheme.

Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video

no code implementations16 Jul 2020 Haoyin Zhou, Jagadeesan Jayender

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.

Motion Estimation Stereo Matching

Smooth Deformation Field-based Mismatch Removal in Real-time

no code implementations16 Jul 2020 Haoyin Zhou, Jagadeesan Jayender

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

no code implementations16 Jul 2020 Haoyin Zhou, Jagadeesan Jayender

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.

Stereo Matching

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