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Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning (CROSBI ID 658248)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Petković, Tomislav ; Pribanić, Tomislav ; Đonlić, Matea ; Sturm, Peter Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning // Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV) / Mortensen, Eric (ur.). Venecija: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 815-823 doi: 10.1109/ICCVW.2017.101

Podaci o odgovornosti

Petković, Tomislav ; Pribanić, Tomislav ; Đonlić, Matea ; Sturm, Peter

engleski

Efficient Separation Between Projected Patterns for Multiple Projector 3D People Scanning

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.

structured light ; human body scanning ; phase shifting ; 3D reconstruction: camera ; projector

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Podaci o prilogu

815-823.

2017.

nije evidentirano

objavljeno

978-1-5386-1034-3

10.1109/ICCVW.2017.101

Podaci o matičnoj publikaciji

Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV)

Mortensen, Eric

Venecija: Institute of Electrical and Electronics Engineers (IEEE)

2473-9944

Podaci o skupu

2017 IEEE International Conference on Computer Vision Workshop: Multiview Relationships in 3D Data

poster

22.10.2017-29.10.2017

Venecija, Italija

Povezanost rada

Elektrotehnika, Računarstvo, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)

Poveznice