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ADAPTIVE NOISE REDUCTION METHOD USING NOISE MODELING FOR TOF SENSOR

Title
ADAPTIVE NOISE REDUCTION METHOD USING NOISE MODELING FOR TOF SENSOR
Author
김회율
Keywords
noise modeling; time-of-flight; ToF camera; depth noise modeling; ToF noise; Noise; Adaptation models; Information filters; Cameras; Adaptive filters; Noise reduction
Issue Date
2014-09
Publisher
IEEE
Citation
2014 4th IEEE International Conference on Network Infrastructure and Digital Content, 2014 Sept[2014], P.99-102
Abstract
In this paper, we propose an advanced way of reducing depth noise for time-of-flight (ToF) camera. Most of depth denoising method uses a filter with fixed parameter or sets parameter considering one factor: amplitude or distance. However, the depth noise is dependent on both amplitude and distance value. Thus, the characteristic of depth noise should consider two factors simultaneously: distance and amplitude. In proposed method, the parameter of adaptive bilateral filter is set to value from our noise model using distance and amplitude information of pixel. In experiments, the proposed method decreases depth noise more effectively while preserving details than normal bilateral filter with fixed parameters.
URI
http://ieeexplore.ieee.org/document/7000273/http://hdl.handle.net/20.500.11754/52618
ISBN
978-1-4799-4734-8; 978-1-4799-4736-2
ISSN
2374-0272
DOI
10.1109/ICNIDC.2014.7000273
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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