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Proceedings Paper

New developments in active and passive 3D image sensing, visualization, and processing
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Paper Abstract

We review two different techniques for visualization and processing of three-dimensional (3D) objects based on passive and active optical sensing. First, we describe the basis of a passive-sensing technique based on integral imaging. Also, we show that it is possible to improve the depth of field of this method by using amplitude-modulated microlens arrays. Second, we describe an active-sensing technique based on digital holography. Finally, we apply both techniques to de-velop 3D image processing applications. In particular, we design two different 3D pattern recognition techniques. Both of them are based in storing the 3D data in two-dimensional (2D) form. In this way, it is possible to recognize 3D objects by performing 2D correlations or applying neural network techniques. Experimental results are presented.

Paper Details

Date Published: 26 October 2005
PDF: 11 pages
Proc. SPIE 5986, Unmanned/Unattended Sensors and Sensor Networks II, 598601 (26 October 2005); doi: 10.1117/12.633672
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Enrique Tajahuerce, Univ. Jaume I (Spain)
Manuel Martínez-Corral, Univ. de Valencia (Spain)
Thomas J. Naughton, National Univ. of Ireland/Maynooth (Ireland)
Yann Frauel, Univ. Nacional Autónoma de Mexico (Mexico)


Published in SPIE Proceedings Vol. 5986:
Unmanned/Unattended Sensors and Sensor Networks II
Edward M. Carapezza, Editor(s)

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