Two-dimensional image motion is the projection of the three-dimensional motion of objects,
relative to a visual sensor, onto its image plane. Sequences of time-orderedimages allow the …

Despite the remarkable progress made by learning based stereo matching algorithms, one
key challenge remains unsolved. Current state-of-the-art stereo models are mostly based on …

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 …

No feature-based vision system can work unless good features can be identified and tracked
from frame to frame. Although tracking itself is by and large a solved problem, selecting …

The factorization method described in this series of reports requires an algorithm to track the
motion of features in an image stream. Given the small inter-frame displacement made …

Most approaches for estimating optical flow assume that, within a finite image region, only a
single motion is present. Thissingle motion assumptionis violated in common situations …

A central problem in stereo matching by computing correlation or sum of squared differences
(SSD) lies in selecting an appropriate window size. The window size must be large enough …

A stereo matching method that uses multiple stereo pairs with various baselines generated
by a lateral displacement of a camera to obtain precise distance estimates without suffering …

To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …