Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …

Traditional image feature matching methods cannot obtain satisfactory results for multi-
modal remote sensing images (MRSIs) in most cases because different imaging …

In this paper, we introduce KAZE features, a novel multiscale 2D feature detection and
description algorithm in nonlinear scale spaces. Previous approaches detect and describe …

We propose a novel class of graph neural networks based on the discretized Beltrami flow, a
non-Euclidean diffusion PDE. In our model, node features are supplemented with positional …

We propose a novel and fast multiscale feature detection and description approach that
exploits the benefits of nonlinear scale spaces. Previous attempts to detect and describe …

Purpose Segmentation of the liver from abdominal computed tomography (CT) images is an
essential step in some computer-assisted clinical interventions, such as surgery planning for …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

We present a new approach for performing high-quality edge-preserving filtering of images
and videos in real time. Our solution is based on a transform that defines an isometry …

This paper presents an efficient technique for performing a spatially inhomogeneous edge-
preserving image smoothing, called fast global smoother. Focusing on sparse Laplacian …

The notion of kernels, recently introduced, has drawn much interest as it allows one to obtain
nonlinear algorithms from linear ones in a simple and elegant manner. This, in conjunction …