Straight line extraction, matching and 3D object motion estimations from intensity images

Yuncai Liu, Thomas S. Huang

Research output: Contribution to journalConference article

Abstract

An experiment in determining 3D vehicle motion in an outdoor scene using line correspondences over an image sequence is presented in this paper. The motivation of this experiment is to test how well algorithms of motion estimation work on real life outdoor scenes. Using images taken by a well calibrated camera, the experiment includes straight line extraction from intensity images, straight line matching and motion estimation using line correspondences. Many corrections and adjustments are performed on the raw image data before they are used for motion estimation, which include film distortion correction, lens distortion correction and camera alignment. The results of this experiment indicate that for the type of vehicle motion under consideration, our algorithm can obtain reasonably accurate estimates for rotation. The experiment also reveals that there is a big gap between simulation tests and real scene tests for algorithms of motion estimation.

Original languageEnglish (US)
Pages (from-to)248-254
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1713
DOIs
StatePublished - Jan 1 1992
EventInternational Conference on Manufacturing Automation 1992 - Hong Kong, Hong Kong
Duration: Aug 1 1992 → …

Fingerprint

Motion Estimation
Motion estimation
Straight Line
Experiment
Experiments
Correspondence
Camera
Cameras
vehicles
cameras
Motion
Line
Image Sequence
Lens
Lenses
Adjustment
Alignment
Object
adjusting
alignment

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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