Title:	Improving RGB Image Consistency for Depth-Camera
Authors:	Reyes-Aviles, Fernando Fleck, Philipp Schmalstieg, Dieter Arth, Clemens
Citation:	Journal of WSCG. 2020, vol. 28, no. 1-2, p. 105-113.
Issue Date:	2020
Publisher:	Václav Skala - UNION Agency
Document type:	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)
Keywords:	hloubková kamera;deformace obrazu;kalibrace;obrazové vykreslování
Keywords in different language:	depth camera;image warping;calibration;image-based rendering
Abstract in different language:	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.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 28, Number 1-2 (2020)

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