scholarly journals 3D shape estimation from 2D landmarks: A convex relaxation approach

2015 ◽  
Author(s):  
Xiaowei Zhou ◽  
Spyridon Leonardos ◽  
Xiaoyan Hu ◽  
Kostas Daniilidis
Keyword(s):  
Convex Relaxation ◽  
Shape Estimation ◽  
3D Shape

scholarly journals Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach

2017 ◽  
Vol 39 (8) ◽  
pp. 1648-1661 ◽  
Author(s):  
Xiaowei Zhou ◽  
Menglong Zhu ◽  
Spyridon Leonardos ◽  
Kostas Daniilidis
Keyword(s):  
Sparse Representation ◽  
Convex Relaxation ◽  
Shape Estimation ◽  
3D Shape

scholarly journals 3D Shape Estimation Of Tendon-Driven Catheters Using Ultrasound Imaging

2021 ◽  
Author(s):  
Niloufaralsadat Hashemi ◽  
Farrokh Sharifi ◽  
Jahan Tavakkoli
Keyword(s):  
Kalman Filter ◽  
Imaging System ◽  
Imaging Systems ◽  
Computational Time ◽  
Shape Estimation ◽  
Adaptive Kalman Filter ◽  
3D Shape ◽  
Design Time ◽  
Minimally Invasive Surgical ◽  
Estimate Error

Active cable/tendon-driven catheters are becoming an established part of the minimally invasive surgical procedures. Therefore, there has been growing interest in literature in estimating the shape of their distal end especially using clinical ultrasound (US) imaging systems. The purpose of this thesis is to use a B-mode US imaging system to design time-efficient, accurate and robust algorithm for 3D shape estimation of tendon-driven catheters. Kalman filter (KF), Adaptive Kalman filter (AKF) and Particle filter (PF) algorithms were developed for this purpose. First, they were applied to a series of simulated US B-mode images where AKF provided the best estimate (error: 0.2 ± 0.1 mm). Second, they were applied to a series of experimentally obtained US B-mode images. Calibration procedures were carried out to calibrate these US images in the experiment’s workspace. The PF was shown to provide the best 3D shape estimate (error: 8.6 ± 0.1 mm). However, since almost the same accuracy could be achieved with AKF in ten times less computational time, AKF was concluded to be the best method, in terms of accuracy and efficiency, to estimate the 3D shape of tendon-driven catheters.

3D shape estimation in a constraint optimization neural network

2020 ◽  
Vol 177 ◽  
pp. 118-129
Author(s):  
Pallavi Mishra ◽  
Sébastien Hélie
Keyword(s):  
Neural Network ◽  
Constraint Optimization ◽  
Shape Estimation ◽  
3D Shape

scholarly journals 3D shape estimation in video sequences provides high precision evaluation of facial expressions

2012 ◽  
Vol 30 (10) ◽  
pp. 785-795 ◽  
Author(s):  
László A. Jeni ◽  
András Lőrincz ◽  
Tamás Nagy ◽  
Zsolt Palotai ◽  
Judit Sebők ◽  
...  
Keyword(s):  
Facial Expressions ◽  
High Precision ◽  
Video Sequences ◽  
Shape Estimation ◽  
3D Shape ◽  
Precision Evaluation

scholarly journals Distinguishing between texture and shading flows for 3D shape estimation

2015 ◽  
Vol 15 (12) ◽  
pp. 965 ◽  
Author(s):  
Steven Cholewiak ◽  
Romain Vergne ◽  
Benjamin Kunsberg ◽  
Steven Zucker ◽  
Roland Fleming
Keyword(s):  
Shape Estimation ◽  
3D Shape
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