In current decades, significant advancements in robotics engineering and autonomous
vehicles have improved the requirement for precise depth measurements. Depth estimation …

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

With the advent of convolutional neural networks, stereo matching algorithms have recently
gained tremendous progress. However, it remains a great challenge to accurately extract …

The melting of glaciers and ice caps accounts for about one-third of current sea-level rise,–,
exceeding the mass loss from the more voluminous Greenland or Antarctic Ice Sheets,. The …

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 …

Progress in stereo algorithm performance is quickly outpacing the ability of existing stereo
data sets to discriminate among the best-performing algorithms, motivating the need for …

Recent reports on America's infrastructure have emphasized the importance of structural
health monitoring of civil infrastructures. System identification is a key component of many …

We present a linear rectification algorithm for general, unconstrained stereo rigs. The
algorithm takes the two perspective projection matrices of the original cameras, and …

The understanding of body measurements and body shapes in and between populations is
important and has many applications in medicine, surveying, the fashion industry, fitness …