Superresolution modeling using an omnidirectional image sensor

Hajime Nagahara, Yasushi Yagi, Masahiko Yachida

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Recently, many virtual reality and robotics applications have been called on to create virtual environments from real scenes. A catadioptric omnidirectional image sensor composed of a convex mirror can simultaneously observe a 360-degree field of view making it useful for modeling man-made environments such as rooms, corridors, and buildings, because any landmarks around the sensor can be taken in and tracked in its large field of view. However, the angular resolution of the omnidirectional image is low because of the large field of view captured. Hence, the resolution of surface texture patterns on the three-dimensional (3-D) scene model generated is not sufficient for monitoring details. To overcome this, we propose a high- resolution scene texture generation method that combines an omnidirectional image sequence using image mosaic and superresolution techniques.

Original languageEnglish
Pages (from-to)607-615
Number of pages9
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume33
Issue number4
DOIs
Publication statusPublished - Aug 1 2003

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this