Stereo vision based approach for extracting features from digital holograms

Pitkäaho, Tomi and Naughton, Thomas J. (2009) Stereo vision based approach for extracting features from digital holograms. In: Fringe 2009 6th International Workshop on Advanced Optical Metrology. Springer, Berlin, pp. 562-567. ISBN 978-3-642-03050-5

[img] Download (572kB)

Add this article to your Mendeley library


With digital holography one can record and reconstruct real world three-dimensional (3D) objects [1,2]. The recorded interference pattern includes information about both amplitude and phase of a wavefront reflected from or transmitted through the object. However, some of the hologram capture setups pose a problem for the reliable reconstruction of quantitative phase information. This can be because the twin image or noise corrupts the reconstructed phase. In such cases it is usual that only amplitude is reconstructed and used as the basis for metrology. A focus criterion is often applied to this reconstructed amplitude to extract depth information from the sensed 3D scene [3,4]. In this paper we present an alternative technique based on applying conventional computer stereo vision algorithms to amplitude reconstructions. We show the effectiveness of our technique using digital holograms of both macroscopic and microscopic real-world 3D objects. We discuss sensitivity to the depth of field of reconstructions, and which hologram capture setups are, and which are not, suitable for the technique.

Item Type: Book Section
Additional Information: We thank Emmanouil Darakis for capturing the digital holographic data. This project was supported by the Academy of Finland, Science Foundation Ireland, a European Commission Marie Curie Inter-European Fellowship, and the European Community's Seventh Framework Programme FP7/2007-2013 under grant agreement no. 216105.
Keywords: Stereo vision; digital holograms;
Academic Unit: Faculty of Science and Engineering > Computer Science
Item ID: 2443
Depositing User: Thomas Naughton
Date Deposited: 16 Feb 2011 17:02
Publisher: Springer
Refereed: No

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...