A clustering based denoising technique for range images of time of flight cameras

2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008

Volumn , Issue , 2008, Pages 999-1004

  Schoner H ^a   Moser, B ^a   Dorrington, A A ^b   Payne, A D ^b   Cree, M J ^b   Heise, B ^c   Bauer, F ^c  

^a SOFTWARE COMPETENCE CENTER HAGENBERG   (Austria)

^b UNIVERSITY OF WAIKATO   (New Zealand)

^c JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

3D STRUCTURE; ANISOTROPIC DIFFUSION; CAMERA SYSTEMS; CLUSTERING PROCEDURE; DE-NOISING TECHNIQUES; EDGE-PRESERVING SMOOTHING; IMAGE STREAMS; MATERIAL PARAMETER; MEASURING TECHNIQUE; MODULATED LIGHT; NOISE CHARACTERISTIC; NOISE LEVELS; ORDERS OF MAGNITUDE; PIXEL ARRAYS; RANGE IMAGES; RANGE INFORMATION; TIME OF FLIGHT; TIME-OF-FLIGHT CAMERAS; VISUAL SCENE;

ARTIFICIAL INTELLIGENCE; CAMERAS; POSITION CONTROL; THREE DIMENSIONAL; TIME SERIES;

PIXELS;

EID: 70449588701     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.95     Document Type: Conference Paper

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