A point cloud is a set of points defined in a 3D metric space. Point clouds have become one
of the most significant data formats for 3D representation and are gaining increased …

Almost all problems in computer vision are related in one form or another to the problem of
estimating parameters from noisy data. In this tutorial, we present what is probably the most …

We present a real-time algorithm which can recover the 3D trajectory of a monocular
camera, moving rapidly through a previously unknown scene. Our system, which we dub …

In this paper, we present the concept of diffusing models to perform image-to-image
matching. Having two images to match, the main idea is to consider the objects boundaries …

We first provide an overview of 3-D shape measurement using various optical methods.
Then we focus on structured light techniques where various optical configurations, image …

Ego-motion estimation for an agile single camera moving through general, unknown scenes
becomes a much more challenging problem when real-time performance is required rather …

A new information-theoretic approach is presented for finding the registration of volumetric
medical images of differing modalities. Registration is achieved by adjustment of the relative …

Now in its third edition, this textbook is a comprehensive introduction to the multidisciplinary
field of mobile robotics, which lies at the intersection of artificial intelligence, computational …

Two images of a single scene/object are related by the epipolar geometry, which can be
described by a 3× 3 singular matrix called the essential matrix if images' internal parameters …

The problem of determining feature correspondences across multiple views is considered.
The term" true multi-image" matching is introduced to describe techniques that make full and …