Název:	Improving RGB Image Consistency for Depth-Camera
Autoři:	Reyes-Aviles, Fernando Fleck, Philipp Schmalstieg, Dieter Arth, Clemens
Citace zdrojového dokumentu:	Journal of WSCG. 2020, vol. 28, no. 1-2, p. 105-113.
Datum vydání:	2020
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf http://hdl.handle.net/11025/38431
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line)
Klíčová slova:	hloubková kamera;deformace obrazu;kalibrace;obrazové vykreslování
Klíčová slova v dalším jazyce:	depth camera;image warping;calibration;image-based rendering
Abstrakt v dalším jazyce:	Indoor reconstruction using depth camera algorithms (e.g., InfiniTAMv3) is becoming increasingly popular. Simple reconstruction methods solely use the frames of the depth camera, leaving any imagery from the adjunct RGB camera untouched. Recent approaches also incorporate color camera information to improve consistency. However, the results heavily depend on the accuracy of the rig calibration, which can strongly vary in quality. Unfortunately, any errors in the rig calibration result in apparent visual discrepancies when it comes to colorization of the 3D reconstruction. We propose an easy approach to fix this issue for the purpose of image-based rendering. We show that a relatively simple warping function can be calculated from a 3D checkerboard pattern for a rig with poor calibration between cameras. The warping is applied to the RGB images online during reconstruction, leading to a significantly improved visual result.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 28, Number 1-2 (2020)

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