Three-dimensional computational holographic imaging and recognition using independent component analysis-Reference-Cited by-同舟云学术

Three-dimensional computational holographic imaging and recognition using independent component analysis

Published:2007-11-27 Issue:2090 Volume:464 Page:409-422
ISSN:1364-5021
Container-title:Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Proc. R. Soc. A.

Author:

Do Cuong Manh¹,Javidi Bahram¹

Affiliation:

1. Department of Electrical and Computer Engineering, University of Connecticut371 Fairfield Road U-2157, Storrs, CT 06269-2157, USA

Abstract

We present computational holographic three-dimensional imaging and automated object recognition based on independent component analysis (ICA). Three-dimensional sensing of the scene is performed by computational holographic imaging of the objects using phase-shifting digital holography. We used principal components analysis to reduce data dimension and ICA to recognize the three-dimensional objects. In this paper, kurtosis maximization-based algorithm is used. To the best of our knowledge, this paper is the first to report using ICA in three-dimensional imaging technology.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.2007.0167

Reference31 articles.

1. Bartlett M. S. Lades H. M. & Sejnowski T. J. 1998 Independent component representations for face recognition. In Proc. SPIE: Conf. Human Vision and Electronic Imaging III vol. 3299 pp. 528–539. Bellingham WA: SPIE Press.

2. Face recognition by independent component analysis

3. Phase-shifting speckle interferometry

4. Multifocus Holographic 3-D Image Fusion Using Independent Component Analysis

5. Do C. M. Hong S. H. Nomura T. & Javidi B. 2005 Multi-wavelength holographic image fusions using discrete wavelet transform. In Proc. SPIE: Three-Dimensional TV Video and Display IV vol. 6016 (eds B. Javidi F. Okano & J. Y. Son) pp. 332–337. Bellingham WA: SPIE Press.

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