Moment-based 2.5-D visual servoing for textureless planar part gras**

Z He, C Wu, S Zhang, X Zhao - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Conventional moment-based visual servoing methods suffer from several problems in
industrial applications due to the utilization of high-order image moments. In this paper, we …

Automatic ganglion cell detection for improving the efficiency and accuracy of hirschprung disease diagnosis

A Greenberg, A Aizic, A Zubkov, S Borsekofsky… - Scientific reports, 2021 - nature.com
Histopathologic diagnosis of Hirschsprung's disease (HSCR) is time consuming and
requires expertise. The use of artificial intelligence (AI) in digital pathology is actively …

Estimation of linear transformation by analyzing the periodicity of interpolation

SJ Ryu, HK Lee - Pattern Recognition Letters, 2014 - Elsevier
Linear transformation, such as rotation, scaling, or any combinations of geometric attacks, is
among the most common forms of image manipulation. This letter proposes a forensic …

Universal manifold embedding for geometrically deformed functions

RR Hagege, JM Francos - IEEE Transactions on Information …, 2016 - ieeexplore.ieee.org
Assume we have a set of observations (for example, images) of different objects, each
undergoing a different geometric deformation, yet all the deformations belong to the same …

Matched manifold detection for group-invariant registration and classification of images

Z Yavo, Y Haitman, JM Francos… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Consider the set of possible observations turned out by geometric and radiometric
transformations of an object. This set is generally a manifold in the ambient space of …

A robust variational approach to super-resolution with nonlocal TV regularisation term

WL Zeng, XB Lu - The Imaging Science Journal, 2013 - Taylor & Francis
Multi frame super-resolution (SR) reconstruction algorithms make use of complimentary
information among low-resolution (LR) images to yield a high-resolution (HR) image …

Transformers in Spectral Domain for Estimating Image Geometric Transformation

M Choi, S Lee, H Jung, JU Hou - Proceedings of the 30th ACM …, 2022 - dl.acm.org
The blind estimation of image geometric transformation is an essential problem in digital
image forensics. In this paper, we propose an end-to-end transformer-based estimator that …

The universal manifold embedding for estimating rigid transformations of point clouds

A Efraim, JM Francos - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
We present a closed form solution to the problem of registration and detection of dense 3-D
point clouds undergoing unknown rigid deformations. The solution is obtained by adapting …

Estimating rigid transformations of noisy point clouds using the universal manifold embedding

A Efraim, JM Francos - Journal of Mathematical Imaging and Vision, 2022 - Springer
We present a closed form solution to the problem of registration of fully overlap** 3D point
clouds undergoing unknown rigid transformations, as well as for detection and registration of …

Geometry and radiometry invariant matched manifold detection

R Sharon, JM Francos… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Consider a set of deformable objects undergoing geometric and radiometric transformations.
As a result of the action of these transformations, the set of different realizations of each …