This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

The recent development in learning deep representations has demonstrated its wide
applications in traditional vision tasks like classification and detection. However, there has …

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 …

Stereo matching is one of the most active research areas in computer vision. While a large
number of algorithms for stereo correspondence have been developed, relatively little work …

This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

This paper presents a fast algorithm for restoring video sequences. The proposed algorithm,
as opposed to existing methods, does not consider video restoration as a sequence of …

This chapter provides a tutorial introduction to gradient-based optical flow estimation. We
discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different …

Computer vision encompasses the construction of integrated vision systems and the
application of vision to problems of real-world importance. The process of creating 3D …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …