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Found 27 papers, 4 papers with code
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion
A total of 6 teams from 4 countries participated, whose proposed methods were evaluated on 16 images and two preoperative 3D models from two patients.
Reconstructing the normal and shape at specularities in endoscopy
Specularities are numerous in endoscopic images.
Freehand 2D Ultrasound Probe Calibration for Image Fusion with 3D MRI/CT
The aim of this work is to implement a simple freehand ultrasound (US) probe calibration technique.
ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library
Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem.
Convex Relaxations for Isometric and Equiareal NRSfM
Extensible objects form a challenging case for NRSfM, owing to the lack of a sufficiently constrained extensible model of the point-cloud.
Normal reconstruction from specularity in the endoscopic setting
We show that these ellipses can be detected and used to estimate the plane's normal direction, forming a normal reconstruction method, which we validate on simulated data.
Procrustes Analysis with Deformations: A Closed-Form Solution by Eigenvalue Decomposition
We show that this property fortunately holds true for most common transformation models, including the affine and TPS models.
Scanline Homographies for Rolling-Shutter Plane Absolute Pose
To this end, we propose a novel mathematical abstraction for RS cameras observing a planar scene, called the scanline-homography, a 3x2 matrix with 5 DOFs.
A Multiple-View Geometric Model for Specularity Prediction on General Curved Surfaces
Specularity prediction using our new model is tested against the most recent JOLIMAS version on both synthetic and real sequences with objects of various general shapes.
Robust Isometric Non-Rigid Structure-from-Motion
Step 1 computes the optical flow from correspondences, step 2 reconstructs each 3D point's normal vector using multiple reference images and integrates them to form surfaces with the best reference and step 3 rejects the 3D points that break isometry in their local neighborhood.
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences
In our experiments, DefSLAM processes close-up sequences of deforming scenes, both in a laboratory controlled experiment and in medical endoscopy sequences, producing accurate 3D models of the scene with respect to the moving camera.
Assessing Capsule Networks With Biased Data
This paper aims to fill this gap and proposes two experimental scenarios to assess the tolerance to imbalanced training data and to determine the generalization performance of a model with unfamiliar affine transformations of the images.
Deep Multi-class Adversarial Specularity Removal
We propose a novel learning approach, in the form of a fully-convolutional neural network (CNN), which automatically and consistently removes specular highlights from a single image by generating its diffuse component.
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.
Self-Calibrating Isometric Non-Rigid Structure-from-Motion
We present self-calibrating isometric non-rigid structure- from-motion (SCIso-NRSfM), the first method to reconstruct a non-rigid object from at least three monocular images with constant but unknown focal length.
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template
Once the virtual deformations have been recovered using SfT, the camera pose and ego-motion are computed by registering the deformed scene on the original template.
Model-based active learning to detect isometric deformable objects in the wild with deep architectures
By generating sufficient images with known imaging conditions, we study to what extent CNNs can cope with hard imaging conditions for instance-level recognition in an active learning regime.
Solutions of Quadratic First-Order ODEs applied to Computer Vision Problems
It is an important problem as it does not need initial conditions to obtain the unique solution and its the frequent solution that practical algorithms of the state-of-the-art give.
Dense Non-Rigid Structure-From-Motion and Shading With Unknown Albedos
Significant progress has been recently made in Non-Rigid Structure-from-Motion (NRSfM).
Isometric Non-Rigid Shape-From-Motion in Linear Time
We study Isometric Non-Rigid Shape-from-Motion (Iso-NRSfM): given multiple intrinsically calibrated monocular images, we want to reconstruct the time-varying 3D shape of an object undergoing isometric deformations.
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming
We show for the first time how to construct a Second-Order Cone Programming (SOCP) problem for Non-Rigid Shape-from-Motion (NRSfM) using the Maximum-Depth Heuristic (MDH).
As-Rigid-As-Possible Volumetric Shape-From-Template
Volumetric SfT uses the object's full volume to express the deformation constraints and reconstructs the object's surface and interior deformation.
Shape-From-Template in Flatland
We focus on isometric deformations, for which 2DSfT is a well-posed problem, and admits an analytical local solution which may be used to initialize nonconvex refinement.
A Linear Least-Squares Solution to Elastic Shape-From-Template
We cast SfT (Shape-from-Template) as the search of a vector field (X, dX), composed of the pose X and the displacement dX that produces the deformation.
Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares
It has been recently shown that reconstructing an isometric surface from a single 2D input image matched to a 3D template was a well-posed problem.
Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration
We propose (i) a general variational framework that applies to (calibrated and uncalibrated) general camera models and (ii) self-calibrating 3D reconstruction algorithms for the weak-perspective and full-perspective camera models.
Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity
We extend the method of isometric surface reconstruction and more recent work on conformal surface reconstruction.
