Scale-invariant representation of light field images for object recognition and tracking

Alireza Ghasemi; Martin Vetterli

doi:10.1117/12.2041105

7 March 2014 Scale-invariant representation of light field images for object recognition and tracking

Alireza Ghasemi, Martin Vetterli

Proceedings Volume 9020, Computational Imaging XII; 902015 (2014) https://doi.org/10.1117/12.2041105
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

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.

Citation Download Citation

Alireza Ghasemi and Martin Vetterli "Scale-invariant representation of light field images for object recognition and tracking", Proc. SPIE 9020, Computational Imaging XII, 902015 (7 March 2014); https://doi.org/10.1117/12.2041105

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