Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104579
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorLi, Den_US
dc.creatorCheung, Cen_US
dc.creatorZhao, Xen_US
dc.creatorRen, Men_US
dc.creatorZhang, Jen_US
dc.creatorZhou, Len_US
dc.date.accessioned2024-02-05T08:51:17Z-
dc.date.available2024-02-05T08:51:17Z-
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/104579-
dc.descriptionInternational Symposium on Optical Measurement Technology and Instrumentation, 9-11 May, 2016, Beijing, Chinaen_US
dc.language.isoenen_US
dc.publisherSPIE-International Society for Optical Engineeringen_US
dc.rightsCopyright 2016 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.en_US
dc.rightsThe following publication Da Li, Chifai Cheung, Xing Zhao, Mingjun Ren, Juan Zhang, and Liqiu Zhou "A defocus-information-free autostereoscopic three-dimensional (3D) digital reconstruction method using direct extraction of disparity information (DEDI)", Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 1015538 (19 October 2016) is available at https://doi.org/10.1117/12.2247350.en_US
dc.subject3D reconstructionen_US
dc.subjectAutostereoscopyen_US
dc.subjectDisparity informationen_US
dc.subjectStatistical analysisen_US
dc.titleA defocus-information-free autostereoscopic three-dimensional (3D) digital reconstruction method using Direct Extraction of Disparity Information (DEDI)en_US
dc.typeConference Paperen_US
dc.identifier.volume10155en_US
dc.identifier.doi10.1117/12.2247350en_US
dcterms.abstractAutostereoscopy based three-dimensional (3D) digital reconstruction has been widely applied in the field of medical science, entertainment, design, industrial manufacture, precision measurement and many other areas. The 3D digital model of the target can be reconstructed based on the series of two-dimensional (2D) information acquired by the autostereoscopic system, which consists multiple lens and can provide information of the target from multiple angles. This paper presents a generalized and precise autostereoscopic three-dimensional (3D) digital reconstruction method based on Direct Extraction of Disparity Information (DEDI) which can be used to any transform autostereoscopic systems and provides accurate 3D reconstruction results through error elimination process based on statistical analysis. The feasibility of DEDI method has been successfully verified through a series of optical 3D digital reconstruction experiments on different autostereoscopic systems which is highly efficient to perform the direct full 3D digital model construction based on tomography-like operation upon every depth plane with the exclusion of the defocused information. With the absolute focused information processed by DEDI method, the 3D digital model of the target can be directly and precisely formed along the axial direction with the depth information.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of SPIE : the International Society for Optical Engineering, 2016, v. 10155, 1015538en_US
dcterms.isPartOfProceedings of SPIE : the International Society for Optical Engineeringen_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-85008178847-
dc.relation.ispartofbookProceedings of SPIE : the International Society for Optical Engineering, 2016en_US
dc.identifier.eissn1996-756Xen_US
dc.identifier.artn1015538en_US
dc.description.validate202402 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberISE-0995-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Science Foundation of China; PolyU; Tianjin Natural Science Foundationen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9585824-
dc.description.oaCategoryVoR alloweden_US
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