Integrated 3D analysis of flight image sequences

Sanghoon Sull, Narendra Ahuja

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper is concerned with three-dimensional (3D) analysis of images showing 3D motion of an observer relative to a scene. It presents an approach to recovering 3D motion and structure parameters from multiple features present in a monocular image sequence such as points, regions, lines, texture gradient and vanishing line. For concreteness, the paper focuses on flight images of a planar, textured surface. In this paper, a linear integrated estimation method using two views is developed. Then, for robust estimation, a nonlinear integrated estimation method using multiple frames is presented. The integration of information in these diverse features is carried out using minimization of image errors. To reduce computation, a sequential-batch method is used to compute motion and structure. Performance is evaluated through simulations and experiments with a real image sequence digitized from a commercially available laserdisc of films taken from flying aircrafts.

Original languageEnglish (US)
Title of host publicationComputer Vision — ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings
EditorsJan-Olof Eklundh
Number of pages6
ISBN (Print)9783540579564
StatePublished - 1994
Event3rd European Conference on Computer Vision, ECCV 1994 - Stockholm, Sweden
Duration: May 2 1994May 6 1994

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume800 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd European Conference on Computer Vision, ECCV 1994

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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