Share Email Print

Proceedings Paper

Scale-invariant representation of light field images for object recognition and tracking
Author(s): Alireza Ghasemi; Martin Vetterli
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We propose a scale-invariant feature descriptor for representation of light-field images. The proposed descriptor can significantly improve tasks such as object recognition and tracking on images taken with recently popularized light field cameras. We test our proposed representation using various light field images of different types, both synthetic and real. Our experiments showvery promising results in terms of retaining invariance under various scaling transformations.

Paper Details

Date Published: 7 March 2014
PDF: 8 pages
Proc. SPIE 9020, Computational Imaging XII, 902015 (7 March 2014); doi: 10.1117/12.2041105
Show Author Affiliations
Alireza Ghasemi, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 9020:
Computational Imaging XII
Charles A. Bouman; Ken D. Sauer, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?