Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64581
Title: A defocus-information-free autostereoscopic three-dimensional (3D) digital reconstruction method using direct extraction of disparity information (DEDI)
Authors: Li, D
Cheung, CF 
Zhao, X
Ren, MJ
Zhang, J
Zhou, LQ
Issue Date: 2016
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2016, v. 10155, UNSP 1015538 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: Autostereoscopy 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.
Description: International Symposium on Optical Measurement Technology and Instrumentation, Beijing, China, May 09-11, 2016
URI: http://hdl.handle.net/10397/64581
ISBN: 978-1-5106-0769-9 (eisbn)
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.2247350
Appears in Collections:Conference Paper

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