Catadioptric Projective Geometry

By Christopher Geyer, Kostas Daniilidis. International Journal of Computer Vision, 2001

442 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/d53630df3fa76a6ddca6c769451ad3c73bc84874

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Pascal Frossard
2. Renata Khasanova
3. Kostas Daniilidis
4. Ameesh Makadia
5. Christopher Geyer
6. Javier Cruz-Mota
7. Iva Bogdanova
8. Michel Bierlaire

In Media Technology

1. Renata Khasanova
2. Pascal Frossard
3. Ameesh Makadia
4. Christopher Geyer
5. Kostas Daniilidis

Citations in the corpus

• Graph-Based Classification of Omnidirectional Images (2017, methodology): “The authors in [21] show that such mirror types allow for a bijective mapping of the lens surface to a sphere, which simplifies processing of omnidirectional images.”
• Scale Invariant Feature Transform on the Sphere: Theory and Applications (2011, background): “An important aid in this sense were the results of Geyer and Daniilidis (2001), where the authors showed that the most common catadioptric omnidirectional images (elliptic, parabolic and hyperbolic) can be bijectively mapped on the surface of a sphere.”
• Correspondence-free Structure from Motion (2007, methodology): “The projection model of a central catadioptric system is equivalent to a spherical projection followed by a projection onto the plane (Geyer and Daniilidis, 2001).”