Dears;
Can vision acquiring errors be modeled as a vibration problem? If so, I would like to suggestions on how to do this modeling and diminishing the visual error in, for example 2.5D depth sensors, based on such modeling (has this been done?).
[]s, LM.
Dear Reddy (thanks for answering);
More than that, if you take pictures with the camera static, in the same position, images will be different due to illumination (artificially illuminated scenes, indoor lighting) and variations in the CCD. There are two ways to think about this problem. One of them is to find transformation matrices that model the camera and system positions and illuminations and the other one is to think the problem is with the data, thus applying the transformation in the data. Modeling the first as a third order polynomial system (a matrix problem) has been done, however the second has not been worked. So my question is if someone thought about applying a vibration control theory to this second problem so it could be modeled as a polinomial control problem as well, as at last analysis we would like to mode data to the right posision? Don´t know if you get the problem question right, now? Fourier, Kalman and other filtering functions would not be used here, instead a direct control that would lead a more fast correction of this kind of error. I´m talking about a small error however signficant at visual slam for example...
[]s, LM.
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