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Pregled bibliografske jedinice broj: 922956

Zbornik radova

Autori: Petković, Tomislav; Pribanić, Tomislav; Đonlić, Matea; Sturm, Peter
Naslov: Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning
( Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning )
Izvornik: Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV) / Mortensen, Eric (ur.). - Venice : The Institute of Electrical and Electronics Engineers , 2017. 815-823 (ISBN: 978-1-5386-1034-3).
Skup: 2017 IEEE International Conference on Computer Vision Workshop: Multiview Relationships in 3D Data
Mjesto i datum: Venecija, Italija, 22-29.10.2017.
Ključne riječi: structured light ; human body scanning ; phase shifting ; 3D reconstruction
( structured light ; human body scanning ; phase shifting ; 3D reconstruction: camera ; projector )
Sažetak:
Structured light 3D surface scanners are usually comprised of one projector and of one camera which provide a limited view of the object’s surface. Multiple projectors and cameras must be used to reconstruct the whole surface profile. Using multiple projectors in structured light profilometry is a challenging problem due to inter-projector interferences which make pattern separation difficult. We propose the use of sinusoidal fringe patterns where each projector has its own specifically chosen set of temporal phase shifts which together comprise a DFT2P+1 basis, where P is the number of projectors. Such a choice enables simple and efficient separation between projected patterns. The proposed method does not impose a limit on the number of projectors used and does not impose a limit on the projector placement. We demonstrate the applicability of the proposed method on three projectors and six cameras structured light system for human body scanning.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: HRZZ-IP-2013-11-3717
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo,Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)
URL Internet adrese: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265310
Upisao u CROSBI: Tomislav Pribanić (tomislav.pribanic@fer.hr), 1. Vel. 2018. u 11:08 sati



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