On projection matrices pk → p2, k = 3, ..., 6, and their applications in computer vision

L. Wolf*, A. Shashua

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

35 Scopus citations

Abstract

Projection matrices from projective spaces p3 to p2 have long been used in multiple-view geometry to model the perspective projection created by the pin-hole camera. In this work we introduce higher-dimensional mappings pk → p2, k = 4,5,6 for the representation of various applications in which the world we view is no longer rigid. We also describe the multi-view constraints from these new projection matrices and methods for extracting the (non-rigid) structure and motion for each application.

Original languageAmerican English
Pages412-419
Number of pages8
StatePublished - 2001
Event8th International Conference on Computer Vision - Vancouver, BC, United States
Duration: 9 Jul 200112 Jul 2001

Conference

Conference8th International Conference on Computer Vision
Country/TerritoryUnited States
CityVancouver, BC
Period9/07/0112/07/01

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