Image extraction by wide angle foveated lens for overt-attention

Sota Shimizu, Hao Jiang, Joel W. Burdick

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

5 Citations (Scopus)

Abstract

This paper defines Wide Angle Foveated (WAF) imaging. A proposed model combines Cartesian coordinate system, a log-polar coordinate system, and a unique camera model composed of planar projection and spherical projection for all-purpose use of a single imaging device. The central field-of-view (FOV) and intermediate FOV are given translation-invariance and, rotation and scale-invariance for pattern recognition, respectively. Further, the peripheral FOV is more useful for camera's view direction control, because its image height is linear to an incident angle to the camera model's optical center point. Thus, this imaging model improves its usability especially when a camera is dynamically moved, that is, overt-attention. Moreover, simulation results of image extraction show advantages of the proposed model, in view of its magnification factor of the central FOV, accuracy of scale-invariance and flexibility to describe other WAF vision sensors.

Original languageEnglish
Title of host publicationProceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Pages3437-3442
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Robotics and Automation, ICRA 2006 - Orlando, FL, United States
Duration: 2006 May 152006 May 19

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2006
ISSN (Print)1050-4729

Conference

Conference2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Country/TerritoryUnited States
CityOrlando, FL
Period06/5/1506/5/19

Keywords

  • Advanced WAF imaging
  • Log-polar mapping
  • Overt-attention
  • Rotation and scale-invariance
  • Wide angle foveated lens

ASJC Scopus subject areas

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

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