| Date: |
2014 |
| Abstract: |
3D cameras open new perspectives in different application fields such as 3D reconstruction, Augmented Reality and video-surveillance since they provide depth information at high frame-rates. However, they have limitations that affect the accuracy of their measures. In particular for TOF (Time-Of-Flight) cameras, two types of error can be distinguished : stochastic noise of the camera and the depth distortion. This is illustrated in the figure 1 where a depth image of a cube is presented. |
| Note: |
Advisors: Adrien BARTOLI, Kamel HAMROUNI, Patrick SAYD. Date and location of PhD thesis defense: 04 July 2013, University d'Auvergne, Clermont-Ferrand, France. |
| Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Language: |
Anglès |
| Document: |
Altres ; recerca ; Versió publicada |
| Subject: |
TOF cameras ;
Noise model ;
Depth calibration ;
Planarity ;
Non-parametric method |
| Published in: |
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 51-53, ISSN 1577-5097 |
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