2.50
Hdl Handle:
http://hdl.handle.net/10547/334483
Title:
Scene depth extraction from Holoscopic Imaging technology
Authors:
Alazawi, E.; Aggoun, Amar; Abbod, M.; Swash, M.R.; Abdul Fatah, O.; Fernandez, Juan C. J.
Abstract:
3D Holoscopic Imaging (3DHI) is a promising technique for viewing natural continuous parallax 3D objects within a wide viewing zone using the principle of “Fly's eye”. The 3D content is captured using a single aperture camera in real-time and represents a true volume spatial optical model of the object scene. The 3D content viewed by multiple viewers independently of their position, without 3D eyewear glasses. The 3DHI technique merely requires a single recording that the acquisition of the 3D information and the compactness of depth measurement that is used has been attracting attention as a novel depth extraction technique. This paper presents a new corresponding and matching technique based on a novel automatic Feature-Match Selection (FMS) algorithm. The aim of this algorithm is to estimate and extract an accurate full parallax 3D model form from a 3D Omni-directional Holoscopic Imaging (3DOHI) system. The basis for the novelty of the paper is on two contributions: feature blocks selection and corresponding automatic optimization process. There are solutions for three main problems related to the depth map estimation from 3DHI: uncertainty and region homogeneity at image location, dissimilar displacements within the matching block around object borders, and computational complexity.
Affiliation:
University of Bedfordshire; Brunel University
Citation:
Alazawi, E., Aggoun, A., Abbod, M., Swash, M.R., Abdul Fatah, O., Fernandez, J., (2013) 'Scene depth extraction from Holoscopic Imaging technology,' 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON). Aberdeen, 7-8 October.
Publisher:
IEEE
Issue Date:
Oct-2013
URI:
http://hdl.handle.net/10547/334483
DOI:
10.1109/3DTV.2013.6676640
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6676640
Type:
Conference papers, meetings and proceedings
Language:
en
ISSN:
2161-2021
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorAlazawi, E.en
dc.contributor.authorAggoun, Amaren
dc.contributor.authorAbbod, M.en
dc.contributor.authorSwash, M.R.en
dc.contributor.authorAbdul Fatah, O.en
dc.contributor.authorFernandez, Juan C. J.en
dc.date.accessioned2014-11-11T14:01:02Z-
dc.date.available2014-11-11T14:01:02Z-
dc.date.issued2013-10-
dc.identifier.citationAlazawi, E., Aggoun, A., Abbod, M., Swash, M.R., Abdul Fatah, O., Fernandez, J., (2013) 'Scene depth extraction from Holoscopic Imaging technology,' 3DTV-Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON). Aberdeen, 7-8 October.en
dc.identifier.issn2161-2021-
dc.identifier.doi10.1109/3DTV.2013.6676640-
dc.identifier.urihttp://hdl.handle.net/10547/334483-
dc.description.abstract3D Holoscopic Imaging (3DHI) is a promising technique for viewing natural continuous parallax 3D objects within a wide viewing zone using the principle of “Fly's eye”. The 3D content is captured using a single aperture camera in real-time and represents a true volume spatial optical model of the object scene. The 3D content viewed by multiple viewers independently of their position, without 3D eyewear glasses. The 3DHI technique merely requires a single recording that the acquisition of the 3D information and the compactness of depth measurement that is used has been attracting attention as a novel depth extraction technique. This paper presents a new corresponding and matching technique based on a novel automatic Feature-Match Selection (FMS) algorithm. The aim of this algorithm is to estimate and extract an accurate full parallax 3D model form from a 3D Omni-directional Holoscopic Imaging (3DOHI) system. The basis for the novelty of the paper is on two contributions: feature blocks selection and corresponding automatic optimization process. There are solutions for three main problems related to the depth map estimation from 3DHI: uncertainty and region homogeneity at image location, dissimilar displacements within the matching block around object borders, and computational complexity.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6676640en
dc.subjectcomputational complexityen
dc.subjectfeature extractionen
dc.subjectholographyen
dc.subjectimage matchingen
dc.subject3D information acquisitionen
dc.subject3D omnidirectional holoscopic imaging systemen
dc.subject3DOHIen
dc.subjectFMS algorithmen
dc.subjectfly eyeen
dc.subjectautomatic feature-match selection algorithmen
dc.subjectautomatic optimizationen
dc.subjectcomputational complexityen
dc.subjectdepth map estimationen
dc.subjectdepth measurementen
dc.subjectdissimilar displacementsen
dc.subjectfeature block selectionen
dc.subjectfull parallax 3D modelen
dc.subjectimage locationen
dc.subjectnatural continuous parallax 3D objectsen
dc.subjectscene depth extractionen
dc.subjectsingle aperture cameraen
dc.subjectviewing zoneen
dc.subjectvolume spatial optical modelen
dc.subject3D omni-directional Holoscopic Imageen
dc.subjectauto feature thresholdingen
dc.subjectdepth mapen
dc.subjectdisparity mapen
dc.subjectoptimal correspondingen
dc.subjectviewpoints imageen
dc.titleScene depth extraction from Holoscopic Imaging technologyen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentBrunel Universityen
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