Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

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

We present a new method for synthesizing high-resolution photo-realistic images from
semantic label maps using conditional generative adversarial networks (conditional GANs) …

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 …

In this paper, we compare the performance of descriptors computed for local interest
regions, as, for example, extracted by the Harris-Affine detector [Mikolajczyk, K and Schmid …

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 paper gives a snapshot of the state of the art in affine covariant region detectors, and
compares their performance on a set of test images under varying imaging conditions. Six …

In this survey, we give an overview of invariant interest point detectors, how they evolved
over time, how they work, and what their respective strengths and weaknesses are. We …

In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery
such as MRI data. We also show how this new descriptor is able to better represent the 3D …