Grassmann Tensors and their applications in geometry
Changqing Xu, Kaijie Xu, Jun Wang, Jingxuan Bai

TL;DR
This paper introduces Grassmann tensors, explores their properties, and demonstrates their application in multiview geometry and polytope representation in Euclidean space.
Contribution
It defines Grassmann tensors via tensor products, investigates their properties, and applies tensor language to geometry and polytope representation.
Findings
Grassmann tensors can be used to express relations in multiview geometry
Properties of Grassmann tensors are systematically analyzed
Polytopes in Euclidean space can be represented as Grassmann tensors
Abstract
In this paper, we introduce the Grassmann tensor by tensor product of vectors and some basic terminology in tensor theory. Some basic properties of the Grassmann tensors are investigated and the tensor language is used to rewrite some relations and correspondences in the mutliview geometry. Finally we show that a polytope in the Euclidean space can also be concisely expressed as the Grassmann tensor generated by its vertices.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Advanced Mathematical Theories and Applications · Mathematics and Applications
