Resolution improving method for A 3D environment modeling using omnidirectional image sensor

Hajime Nagahara, Yasushi Yagi, Masahiko Yachida

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)

Abstract

Recently, many applications in virtual reality and robotics require to create virtual environment from a real scene. A catadioptric omnidirectional image sensor composed of a convex mirror can observe a 360-degree field of view at once. It is useful for modeling a man-made environment such as a room, a corridor and a building, because the landmarks around the sensor can be taken and tracked by its large field of view. However, the angular resolution of the omnidirectional image is low owing to capturing the large field of view. Therefore, the resolution of texture patterns of each surface on the generated 3D scene model is not enough for monitoring details. To solve this problem, we propose a high-resolution scene texture generation method that combines an omnidirectional image sequence using image mosaic and super-resolution techniques.

Original languageEnglish
Pages (from-to)900-907
Number of pages8
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume1
Publication statusPublished - Jan 1 2002
Event2002 IEEE International Conference on Robotics and Automation - Washington, DC, United States
Duration: May 11 2002May 15 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Resolution improving method for A 3D environment modeling using omnidirectional image sensor'. Together they form a unique fingerprint.

Cite this