NDLI: Image extraction by wide angle foveated lens for overt-attention

Content Provider	IEEE Xplore Digital Library
Author	Sota Shimizu Hao Jiang Burdick, J.W.
Copyright Year	2006
Description	Author affiliation: Dept. of Mech. Eng., California Inst. of Technol., Pasadena, CA (Sota Shimizu; Hao Jiang; Burdick, J.W.)
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
Sponsorship	IEEE Robotics and Autom. Soc
Starting Page	3437
Ending Page	3442
File Size	761981
Page Count	6
File Format	PDF
ISBN	0780395050
ISSN	10504729
DOI	10.1109/ROBOT.2006.1642227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lenses Cameras Image sensors Optical imaging Biomedical optical imaging Optical sensors Pattern recognition Biological system modeling Semiconductor device modeling Humans
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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