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Static and Dynamic Object Reconstruction Using Phase Shifting of De Bruijn Pattern


Đonlić, Matea; Petković, Tomislav; Pribanić, Tomislav
Static and Dynamic Object Reconstruction Using Phase Shifting of De Bruijn Pattern // Proceedings of International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP) / Blashki, Katherine ; Xiao, Yingcai (ur.).
Las Palmas de Gran Canaria, Španjolska: IADIS Press, 2015. str. 211-218 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Static and Dynamic Object Reconstruction Using Phase Shifting of De Bruijn Pattern

Autori
Đonlić, Matea ; Petković, Tomislav ; Pribanić, Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP) / Blashki, Katherine ; Xiao, Yingcai - Las Palmas de Gran Canaria, Španjolska : IADIS Press, 2015, 211-218

ISBN
978-989-8533-38-8

Skup
9th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP)

Mjesto i datum
Las Palmas de Gran Canaria, Španjolska, 22–24.07.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
3D structured light ; Hessian ridge detector ; De Bruijn sequence ; phase shifting ; dynamic programming

Sažetak
A novel structured light method for color 3D surface profilometry is proposed. The proposed method may be used for reconstruction of both static and moving objects and does not require accurate color calibration of a camera– projector pair. The method is based on a structured light pattern that is a combination of a De Bruijn color sequence and of a sinusoidal fringe pattern. For static scenes phase-shifting and the De Bruijn window property are combined to obtain a high accuracy reconstruction. For dynamic scenes the Hessian ridge detector is applied to find stripes whose colors are decoded using a Gaussian mixture model. The De Bruijn window property and dynamic programming then uniquely identify projected stripes yielding a spatially sparser reconstruction. We have tested the proposed method on multiple objects with challenging surfaces and different albedos that clearly demonstrate both usability and robustness.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

Napomena
The paper was given a certificate for Best Paper Award at 9th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2015).



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-3717 - 3D sustav za mjerenje oblika trupa tijela (Tomislav Pribanić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb