S. H. Lim and T. Furukawa
The Mechanistic Deconvolutive Image Sensor Model for an Arbitrary Pan–Tilt Plane of View
683 - 689
2008
2
9
International Journal of Physical and Mathematical Sciences
https://publications.waset.org/pdf/9432
https://publications.waset.org/vol/21
World Academy of Science, Engineering and Technology
This paper presents a generalized form of the
mechanistic deconvolution technique (GMD) to modeling image sensors applicable in various pan–tilt planes of view. The mechanistic deconvolution technique (UMD) is modified with the
given angles of a pan–tilt plane of view to formulate constraint parameters and characterize distortion effects, and thereby, determine
the corrected image data. This, as a result, does not require experimental setup or calibration. Due to the mechanistic nature of
the sensor model, the necessity for the sensor image plane to be
orthogonal to its zaxis is eliminated, and it reduces the dependency on image data. An experiment was constructed to evaluate the
accuracy of a model created by GMD and its insensitivity to changes in sensor properties and in pan and tilt angles. This was compared
with a precalibrated model and a model created by UMD using two sensors with different specifications. It achieved similar accuracy
with oneseventh the number of iterations and attained lower mean error by a factor of 2.4 when compared to the precalibrated and
UMD model respectively. The model has also shown itself to be robust and, in comparison to precalibrated and UMD model, improved the accuracy significantly.
Open Science Index 21, 2008