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Andrew Pryhuber

dblp:261/2752 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational geometry · 67% Logic in computer science · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
algebraic geometry
0.512021
Ideals of the Multiview Variety · IEEE Trans. Pattern Anal. Mach. Intell. 2021
Computational geometry › geometric vision
multi-view geometry
0.512021
Ideals of the Multiview Variety · IEEE Trans. Pattern Anal. Mach. Intell. 2021

Methods — techniques the papers use, named apart from their topics

commutative algebra · 0.5algebraic geometry · 0.5
YearPublicationVenuePosition
2021 Ideals of the Multiview Variety
abstract
The multiview variety of an arrangement of cameras is the Zariski closure of the images of world points in the cameras. The prime vanishing ideal of this complex projective variety is called the multiview ideal. We show that the bifocal and trifocal polynomials from the cameras generate the multiview ideal when the foci are distinct. In the computer vision literature, many sets of (determinantal) polynomials have been proposed to describe the multiview variety. We establish precise algebraic relationships between the multiview ideal and these various ideals. When the camera foci are noncoplanar, we prove that the ideal of bifocal polynomials saturate to give the multiview ideal. Finally, we prove that all the ideals we consider coincide when dehomogenized, to cut out the space of finite images.
Sameer Agarwal 0001, Andrew Pryhuber, Rekha R. Thomas
IEEE Trans. Pattern Anal. Mach. Intell.2