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

The authenticity and reliability of digital images are increasingly important due to the ease in
modifying such images. Thus, the capability to identify image manipulation is a current …

Excellent performance, real time and strong robustness are three vital requirements for
infrared small target detection. Unfortunately, many current state-of-the-art methods merely …

In this paper, we propose a novel benchmark for evaluating local image descriptors. We
demonstrate that the existing datasets and evaluation protocols do not specify …

Feature matching is at the base of many computer vision problems, such as object
recognition or structure from motion. Current methods rely on costly descriptors for detection …

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 …

Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

This paper concerns the problem of fully automated panoramic image stitching. Though the
1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more difficult …

The goal of this paper is to discover a set of discriminative patches which can serve as a fully
unsupervised mid-level visual representation. The desired patches need to satisfy two …

Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …