Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm

2.50
Hdl Handle:
http://hdl.handle.net/10547/593528
Title:
Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm
Authors:
Wu, ChunHong; McCormick, Malcolm; Aggoun, Amar; Kung, S.Y.
Abstract:
Integral imaging is a technique capable of displaying 3–D images with continuous parallax in full natural color. It is one of the most promising methods for producing smooth 3–D images. Extracting depth information from integral image has various applications ranging from remote inspection, robotic vision, medical imaging, virtual reality, to content-based image coding and manipulation for integral imaging based 3–D TV. This paper presents a method of generating a depth map from unidirectional integral images through viewpoint image extraction and using a hybrid disparity analysis algorithm combining multi-baseline, neighborhood constraint and relaxation strategies. It is shown that a depth map having few areas of uncertainty can be obtained from both computer and photographically generated integral images using this approach. The acceptable depth maps can be achieved from photographic captured integral images containing complicated object scene.
Citation:
Wu, C. (2008) 'Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm'. Journal of Display Technology 4 (1) 101-108
Publisher:
OSA Publishing
Journal:
Journal of Display Technology
Issue Date:
2008
URI:
http://hdl.handle.net/10547/593528
Additional Links:
https://www.osapublishing.org/jdt/abstract.cfm?uri=jdt-4-1-101
Type:
Article
Language:
en
ISSN:
1551-319X
EISSN:
1558-9323
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorWu, ChunHongen
dc.contributor.authorMcCormick, Malcolmen
dc.contributor.authorAggoun, Amaren
dc.contributor.authorKung, S.Y.en
dc.date.accessioned2016-01-15T14:00:06Zen
dc.date.available2016-01-15T14:00:06Zen
dc.date.issued2008en
dc.identifier.citationWu, C. (2008) 'Depth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithm'. Journal of Display Technology 4 (1) 101-108en
dc.identifier.issn1551-319Xen
dc.identifier.urihttp://hdl.handle.net/10547/593528en
dc.description.abstractIntegral imaging is a technique capable of displaying 3–D images with continuous parallax in full natural color. It is one of the most promising methods for producing smooth 3–D images. Extracting depth information from integral image has various applications ranging from remote inspection, robotic vision, medical imaging, virtual reality, to content-based image coding and manipulation for integral imaging based 3–D TV. This paper presents a method of generating a depth map from unidirectional integral images through viewpoint image extraction and using a hybrid disparity analysis algorithm combining multi-baseline, neighborhood constraint and relaxation strategies. It is shown that a depth map having few areas of uncertainty can be obtained from both computer and photographically generated integral images using this approach. The acceptable depth maps can be achieved from photographic captured integral images containing complicated object scene.en
dc.language.isoenen
dc.publisherOSA Publishingen
dc.relation.urlhttps://www.osapublishing.org/jdt/abstract.cfm?uri=jdt-4-1-101en
dc.subjectdepth mappingen
dc.subjectintegral imagesen
dc.subjectviewpoint image extractionen
dc.subjecthybrid disparity analysisen
dc.titleDepth mapping of integral images through viewpoint image extraction with a hybrid disparity analysis algorithmen
dc.typeArticleen
dc.identifier.eissn1558-9323en
dc.identifier.journalJournal of Display Technologyen
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