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

Amnon Shashua*

*Corresponding author for this work

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

4 Scopus citations

Abstract

The author addresses 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. He shows 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., he computes structure without motion).

Original languageAmerican English
Title of host publicationProceedings - IEEE Workshop on Qualitative Vision, WQV 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-117
Number of pages11
ISBN (Electronic)0818636920, 9780818636929
DOIs
StatePublished - 1993
Externally publishedYes
Event1993 IEEE Workshop on Qualitative Vision, WQV 1993 - New York, United States
Duration: 14 Jun 1993 → …

Publication series

NameProceedings - IEEE Workshop on Qualitative Vision, WQV 1993

Conference

Conference1993 IEEE Workshop on Qualitative Vision, WQV 1993
Country/TerritoryUnited States
CityNew York
Period14/06/93 → …

Bibliographical note

Publisher Copyright:
© 1993 IEEE.

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