How Useful is Projective Geometry?

Patrick Gros 1, 2 Richard Hartley 3 Roger Mohr 1, 2 Long Quan 1, 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : In this response, we will weigh two different approaches to shape recognition. On the one hand we have the use of restricted camera models as advocated in the paper of Pizlo et. al. to give a closer approximation to real calibrated cameras. The alternative approach is to use a full projective camera model and take advantage of the machinery of projective geometry
Document type :
Journal articles
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.inria.fr/inria-00548360
Contributor : Thoth Team <>
Submitted on : Wednesday, December 22, 2010 - 4:32:10 PM
Last modification on : Tuesday, October 30, 2018 - 11:00:02 AM
Long-term archiving on: Wednesday, March 23, 2011 - 2:40:10 AM

Files

pizlo.pdf
Files produced by the author(s)

Identifiers

Collections

IMAG | CNRS | INRIA | UGA

Citation

Patrick Gros, Richard Hartley, Roger Mohr, Long Quan. How Useful is Projective Geometry?. Computer Vision and Image Understanding, Elsevier, 1997, 65 (3), pp.442--446. ⟨10.1006/cviu.1996.0496⟩. ⟨inria-00548360⟩

Share

Metrics

Record views

338

Files downloads

560