Rigid Multiview Varieties
This work addresses a theoretical problem in computer vision for researchers, but it appears incremental as it builds on existing multiview varieties.
The authors generalized the multiview variety from computer vision to images of points with a distance constraint, resulting in a five-dimensional variety in a product of projective planes, and they determined its defining polynomial equations while exploring applications.
The multiview variety from computer vision is generalized to images by $n$ cameras of points linked by a distance constraint. The resulting five-dimensional variety lives in a product of $2n$ projective planes. We determine defining polynomial equations, and we explore generalizations of this variety to scenarios of interest in applications.