State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
Artificial intelligence for emerging technology in surgery: Systematic review and validation
Surgery is a high-risk procedure of therapy and is associated to post trauma complications of
longer hospital stay, estimated blood loss and long duration of surgeries. Reports have …
longer hospital stay, estimated blood loss and long duration of surgeries. Reports have …
Live tracking and dense reconstruction for handheld monocular endoscopy
Contemporary endoscopic simultaneous localization and mapping (SLAM) methods
accurately compute endoscope poses; however, they only provide a sparse 3-D …
accurately compute endoscope poses; however, they only provide a sparse 3-D …
Tracking partially-occluded deformable objects while enforcing geometric constraints
Y Wang, D McConachie… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In order to manipulate a deformable object, such as rope or cloth, in unstructured
environments, robots need a way to estimate its current shape. However, tracking the shape …
environments, robots need a way to estimate its current shape. However, tracking the shape …
Occlusion-robust deformable object tracking without physics simulation
C Chi, D Berenson - … on Intelligent Robots and Systems (IROS), 2019 - ieeexplore.ieee.org
Estimating the state of a deformable object is crucial for robotic manipulation, yet accurate
tracking is challenging when the object is partially-occluded. To address this problem, we …
tracking is challenging when the object is partially-occluded. To address this problem, we …
A deep learning framework for real‐time 3D model registration in robot‐assisted laparoscopic surgery
Introduction The current study presents a deep learning framework to determine, in real‐
time, position and rotation of a target organ from an endoscopic video. These inferred data …
time, position and rotation of a target organ from an endoscopic video. These inferred data …
Lattice-based shape tracking and servoing of elastic objects
M Shetab-Bushehri, M Aranda… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we propose a general unified tracking-servoing approach for controlling the
shape of elastic deformable objects using robotic arms. Our approach works by forming a …
shape of elastic deformable objects using robotic arms. Our approach works by forming a …
Emdq-slam: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos
H Zhou, J Jayender - Medical Image Computing and Computer Assisted …, 2021 - Springer
We propose a novel stereo laparoscopy video-based non-rigid SLAM method called EMDQ-
SLAM, which can incrementally reconstruct thee-dimensional (3D) models of soft tissue …
SLAM, which can incrementally reconstruct thee-dimensional (3D) models of soft tissue …
Deformable registration of a preoperative 3D liver volume to a laparoscopy image using contour and shading cues
The deformable registration of a preoperative organ volume to an intraoperative
laparoscopy image is required to achieve augmented reality in laparoscopy. This is an …
laparoscopy image is required to achieve augmented reality in laparoscopy. This is an …
[HTML][HTML] Deep shape-from-template: Single-image quasi-isometric deformable registration and reconstruction
Abstract Shape-from-Template (SfT) solves 3D vision from a single image and a deformable
3D object model, called a template. Concretely, SfT computes registration (the …
3D object model, called a template. Concretely, SfT computes registration (the …