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Efficient Separation between Projected Patterns for Multiple Projector 3D People Scanning (CROSBI ID 658341)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa

Petković, Tomislav ; Pribanić, Tomislav ; Đonlić, Matea ; Sturm, Peter Efficient Separation between Projected Patterns for Multiple Projector 3D People Scanning // Abstract Book of Sixth Croatian Computer Vision Workshop / Lončarić, Sven ; Bonković, Mirjana ; Papić, Vladan (ur.). Zagreb: University of Zagreb, Croatia University of Split, Croatia, 2017. str. 15-15

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 DFT basis in 2P +1 points, 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.

fringe projection profilometry, structured light ; 3D people scanning

Prezentacija istraživanja objavljenog u istoimenom radu na konferenciji ICCV2017.

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Podaci o prilogu

15-15.

2017.

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objavljeno

Podaci o matičnoj publikaciji

Abstract Book of Sixth Croatian Computer Vision Workshop

Lončarić, Sven ; Bonković, Mirjana ; Papić, Vladan

Zagreb: University of Zagreb, Croatia University of Split, Croatia

Podaci o skupu

Sixth Croatian Computer Vision Workshop (CCVW2017)

poster

26.09.2017-26.09.2017

Split, Hrvatska

Povezanost rada

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