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Adrien Bartoli

14 accepted papers

2024

Markerless Ultrasnd Probe Pose Estimation in Mini-Invasive Surgery

ICRA 2024

In mini-invasive surgery, the laparoscopic ultra-sound probe is visible in the laparoscopic image. We address the problem of estimating the probe pose with respect to the laparoscope without using markers and additional sensors. We propose the first method using a single standard laparoscopic monocu

Cited by 2SourceScholar
2024

Markerless Ultrasound Probe Pose Estimation in Mini-Invasive Surgery

ICRA 2024poster

In mini-invasive surgery, the laparoscopic ultra-sound probe is visible in the laparoscopic image. We address the problem of estimating the probe pose with respect to the laparoscope without using markers and additional sensors. We propose the first method using a single standard laparoscopic monocu…

Cited by 1SourceScholar
2020

Monocular Visual Shape Tracking and Servoing for Isometrically Deforming Objects

IROS 2020poster

We address the monocular visual shape servoing problem. This pushes the challenging visual servoing problem one step further from rigid object manipulation towards deformable object manipulation. Explicitly, it implies deforming the object towards a desired shape in 3D space by robots using monocula…

Cited by 40SourceScholar
2018

Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template

ECCV 2018poster

We propose a new method for the absolute camera pose problem (PnP) which handles Rolling Shutter (RS) effects. Unlike all existing methods which perform 3D-2D registration after augmenting the Global Shutter (GS) projection model with the velocity parameters under various kinematic models, we propos…

Cited by 15SourcePDFScholar
2016

Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming

CVPR 2016poster

We present a global and convex formulation for template-less 3D reconstruction of a deforming object with the perspective camera. 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 (M…

Cited by 34PDFScholar