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Related papers: Dynamic Reconstruction of Deformable Soft-tissue w…

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Reconstruction of the soft tissues in robotic surgery from endoscopic stereo videos is important for many applications such as intra-operative navigation and image-guided robotic surgery automation. Previous works on this task mainly rely…

Computer Vision and Pattern Recognition · Computer Science 2022-07-01 Yuehao Wang , Yonghao Long , Siu Hin Fan , Qi Dou

We propose an approach to reconstruct dense three-dimensional (3D) model of tissue surface from stereo optical videos in real-time, the basic idea of which is to first extract 3D information from video frames by using stereo matching, and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-27 Haoyin Zhou , Jagadeesan Jayender

We present a method for dynamic surface reconstruction of large-scale urban scenes from LiDAR. Depth-based reconstructions tend to focus on small-scale objects or large-scale SLAM reconstructions that treat moving objects as outliers. We…

Computer Vision and Pattern Recognition · Computer Science 2025-05-07 Nathaniel Chodosh , Anish Madan , Simon Lucey , Deva Ramanan

Recovering surgical scene structure in laparoscope surgery is crucial step for surgical guidance and augmented reality applications. In this paper, a quasi dense reconstruction algorithm of surgical scene is proposed. This is based on a…

Computer Vision and Pattern Recognition · Computer Science 2017-05-26 Nader Mahmoud , Alexandre Hostettler , Toby Collins , Luc Soler , Christophe Doignon , J. M. M. Montiel

In this paper, we study the back-end of simultaneous localization and mapping (SLAM) problem in deforming environment, where robot localizes itself and tracks multiple non-rigid soft surface using its onboard sensor measurements. An…

Robotics · Computer Science 2019-06-21 Jingwei Song , Liang Zhao , Shoudong Huang , Gamini Dissanayake

The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context. However, due to tissue deformation, complex camera motion and significant three-dimensional (3D)…

Computer Vision and Pattern Recognition · Computer Science 2021-03-15 Haoyin Zhou , Jagadeesan Jayender

Objective: The computation of anatomical information and laparoscope position is a fundamental block of surgical navigation in Minimally Invasive Surgery (MIS). Recovering a dense 3D structure of surgical scene using visual cues remains a…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Ruofeng Wei , Bin Li , Hangjie Mo , Bo Lu , Yonghao Long , Bohan Yang , Qi Dou , Yunhui Liu , Dong Sun

Real-time simultaneously localization and dense mapping is very helpful for providing Virtual Reality and Augmented Reality for surgeons or even surgical robots. In this paper, we propose MIS-SLAM: a complete real-time large scale dense…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Jingwei Song , Jun Wang , Liang Zhao , Shoudong Huang , Gamini Dissanayake

In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is considered as a minimally invasive novel diagnostic technology to inspect the entire GI tract and to diagnose various diseases and pathologies.…

Computer Vision and Pattern Recognition · Computer Science 2017-11-27 Mehmet Turan , Yasin Almalioglu , Helder Araujo , Ender Konukoglu , Metin Sitti

Obtaining dense 3D reconstrution with low computational cost is one of the important goals in the field of SLAM. In this paper we propose a dense 3D reconstruction framework from monocular multispectral video sequences using jointly…

Computer Vision and Pattern Recognition · Computer Science 2018-07-09 Yuanhong Xu , Pei Dong , Junyu Dong , Lin Qi

In this paper we present NR-SLAM, a novel non-rigid monocular SLAM system founded on the combination of a Dynamic Deformation Graph with a Visco-Elastic deformation model. The former enables our system to represent the dynamics of the…

Robotics · Computer Science 2023-08-09 Juan J. Gomez Rodriguez , J. M. M Montiel , Juan D. Tardos

Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene. In this work we present Semi-Direct DefSLAM (SD-DefSLAM), a novel monocular deformable SLAM method able to map…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Juan J. Gómez Rodríguez , José Lamarca , Javier Morlana , Juan D. Tardós , José M. M. Montiel

Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and robotic tasks in minimally invasive procedures. While recent advancements in 3D Gaussian Splatting (3DGS) have improved SLAM with high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Yiming Huang , Beilei Cui , Long Bai , Zhen Chen , Jinlin Wu , Zhen Li , Hongbin Liu , Hongliang Ren

While the keypoint-based maps created by sparse monocular simultaneous localisation and mapping (SLAM) systems are useful for camera tracking, dense 3D reconstructions may be desired for many robotic tasks. Solutions involving depth cameras…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Tristan Laidlow , Jan Czarnowski , Stefan Leutenegger

A SPAMM tagged MRI methodology is presented allowing continuous (3.3-3.6 Hz) sampling of 3D dynamic soft tissue deformation using non-segmented 3D acquisitions. The 3D deformation is reconstructed by the combination of 3 mutually orthogonal…

Reconstructing deformable endoscopic tissues is crucial for achieving robot-assisted surgery. However, 3D Gaussian Splatting-based approaches encounter challenges in achieving consistent tissue surface reconstruction, while existing…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Yangsen Chen , Hao Wang

We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models. In contrast to existing approaches, we do not maintain any…

Computer Vision and Pattern Recognition · Computer Science 2019-05-01 Wei Gao , Russ Tedrake

Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsule robots. However, existing SLAM (Simultaneous Localization…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Kailing Wang , Chen Yang , Yuehao Wang , Sikuang Li , Yan Wang , Qi Dou , Xiaokang Yang , Wei Shen

This paper presents a novel approach to reconstruct complete 3D deformable models over time by a single depth camera. These are the steps employed for deforming objects from single depth camera. The partial surfaces reconstructed from…

Computer Vision and Pattern Recognition · Computer Science 2017-08-31 Vamshhi Pavan Kumar Varma Vegeshna

This study presents and validates a novel (non-ECG-triggered) MRI sequence based on SPAtial Modulation of the Magnetization (SPAMM) to non-invasively measure 3D (quasi-static) soft tissue deformations using only six acquisitions (three…

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