DocumentCode :
875440
Title :
Systematic errors in active 3D vision sensors
Author :
Ruocco, R. ; White, T. ; Jarrett, D.
Volume :
150
Issue :
6
fYear :
2003
Firstpage :
341
Lastpage :
345
Abstract :
Active 3D vision sensors offer two main advantages over indirect means of obtaining 3D information about objects: non-reliance on ambient lighting and a higher image acquisition speed, which make them ideal for object manipulation operation in unconstrained environments. These sensors, however, can be adversely affected by the high dynamic range of the returned signal, although this can be overcome by repeated data sampling and low-pass filtering, using either a stochastic or model-driven approach. The potential for an additional drawback is investigated, namely the appearance of systematic errors in the 3D image data when the sensor´s distance to the object is within an order of magnitude of the sensor image resolution, such as might be the case in eye-in-hand robotic applications.
Keywords :
image resolution; image sensors; low-pass filters; measurement errors; robot vision; signal sampling; stochastic processes; active 3D vision sensors; ambient lighting; data sampling; eye-in-hand robotic applications; image acquisition speed; image resolution; low-pass filtering; model-driven approach; object manipulation; signal dynamic range; stochastic approach; systematic errors;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20030794
Filename :
1263266
Link To Document :
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