Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition

Amnon Shashua*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

47 Scopus citations

Abstract

We address the problem of reconstructing 3D space in a projective framework from two views, and the problem of artificially generating novel views of the scene from two given views. We show that with the correspondences coming from four non-coplanar points in the scene and the corresponding epipoles, one can define and reconstruct (using simple linear methods) a projective invariant, referred to as projective depth, that can be used later to reconstruct the projective or affine structure of the scene, or directly to generate novel views of the scene. The derivation has the advantage that the viewing transformation matrix need not be recovered in the course of computations (i.e., we compute structure without motion).

Original languageAmerican English
Title of host publication1993 IEEE 4th International Conference on Computer Vision
PublisherPubl by IEEE
Pages583-590
Number of pages8
ISBN (Print)0818638729
StatePublished - 1993
Externally publishedYes
Event1993 IEEE 4th International Conference on Computer Vision - Berlin, Ger
Duration: 11 May 199314 May 1993

Publication series

Name1993 IEEE 4th International Conference on Computer Vision

Conference

Conference1993 IEEE 4th International Conference on Computer Vision
CityBerlin, Ger
Period11/05/9314/05/93

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