NDLI: A Pupil-Centric Model of Image Formation

Content Provider	Springer Nature Link
Author	Aggarwal, Maj Ahuja, Narendra
Copyright Year	2002
Abstract	This paper has been prompted by observations of some anomalies in the performance of the standard imaging models (pin-hole, thin-lens and Gaussian thick-lens), in the context of composing omnifocus images and estimating depth maps from a sequence of images. A closer examination of the models revealed that they assume a position of the aperture that conflicts with the designs of many available lenses. We have shown in this paper that the imaging geometry and photometric properties of an image are significantly influenced by the position of the aperture. This is confirmed by the discrepancies between observed mappings and those predicted by the models. We have therefore concluded that the current imaging models do not adequately represent practical imaging systems. We have proposed a pupil-centric model of image formation, which overcomes these deficiencies and have given the associated mappings. The impact of this model on some common imaging scenariosis described, along with experimental verification of the better performance of the model on three real lenses.
Starting Page	195
Ending Page	214
Page Count	20
File Format	PDF
ISSN	09205691
Journal	International Journal of Computer Vision
Volume Number	48
Issue Number	3
e-ISSN	15731405
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2002-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Artificial Intelligence (incl. Robotics) Computer Imaging, Graphics and Computer Vision Image Processing Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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