DocumentCode :
1779430
Title :
Real-time depth fusion using a low-cost depth sensor array
Author :
Schmeing, Michael ; Krauskopf, Elmar ; Xiaoyi Jiang
Author_Institution :
Dept. of Comput. Sci., Univ. of Munster, Munster, Germany
fYear :
2014
fDate :
2-4 July 2014
Firstpage :
1
Lastpage :
4
Abstract :
We present a method for real-time depth enhancement based on multiple depth map fusion. We use a multi-sensor setup of low-cost depth sensors to obtain a combined depth map that can be arbitrary positioned between the input sensors. Our method fills holes in the depth map and reduces sensor noise. It uses GPU acceleration via OpenGL and is applicable as a preprocessing step for a wide variety of applications where real-time depth maps are necessary. We present subjective and objective results and investigate the influence of vibrating sensors to our method.
Keywords :
distributed sensors; image enhancement; image fusion; image sensors; GPU acceleration; OpenGL; low cost depth sensor array; multiple depth map fusion; multisensor setup; real time depth enhancement; real time depth fusion; real time depth maps; sensor noise reduction; Calibration; Cameras; Graphics processing units; Image color analysis; Real-time systems; Three-dimensional displays; Vibrations; GPU; Kinect; depth; depth enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2014
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/3DTV.2014.6874758
Filename :
6874758
Link To Document :
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