Statistics – Applications
Scientific paper
Oct 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5986....1j&link_type=abstract
Unmanned/Unattended Sensors and Sensor Networks II. Edited by Carapezza, Edward M. Proceedings of the SPIE, Volume 5986, pp.
Statistics
Applications
Scientific paper
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.
Frauel Yann
Javidi Bahram
Martínez-Corral Manuel
Naughton Thomas J.
Tajahuerce Enrique
No associations
LandOfFree
New developments in active and passive 3D image sensing, visualization, and processing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with New developments in active and passive 3D image sensing, visualization, and processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and New developments in active and passive 3D image sensing, visualization, and processing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1659268