Noise modeling and depth calibration for Time-Of-Flight cameras: Extended Abstract of Ph.D Thesis

• Autores: Amira Belhedi
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 13, Nº. Extra 2, 2014 (Ejemplar dedicado a: Special Issue on Recent PhD Thesis Dissemination), págs. 51-53
• Idioma: inglés
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• Resumen

  • 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.