Point set registration (PSR) is the process of computing a spatial transformation that
optimally aligns pairs of point sets. The method helps to amalgamate multiple datasets into a …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Given an input set of 3D point pairs the goal of outlier-robust 3D registration is to compute
some rotation and translation that align as many point pairs as possible. This is an important …

Non-rigid point set registration has been used in a wide range of computer vision
applications such as human movement tracking, medical image analysis, three dimensional …

Three-dimensional rigid point cloud registration has many applications in computer vision
and robotics. Local methods tend to fail, causing global methods to be needed, when the …

This paper is about the old Wahba problem in its more general form, which we call"
simultaneous rotation and correspondence search". In this generalization we need to find a …

Robust image matching is crucial for many applications of remote sensing and
photogrammetry, such as image fusion, image registration, and change detection. In this …

A recent line of research termed" unlabeled sensing" and" shuffled linear regression" has
been exploring under great generality the recovery of signals from subsampled and …

Linear regression without correspondences concerns the recovery of a signal in the linear
regression setting, where the correspondences between the observations and the linear …

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the
refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018 …