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Quantization error in hexagonal sensory configurations

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1 Author(s)
Kamgar-Parsi, B. ; US Naval Res. Lab., Washington, DC

The authors develop mathematical tools for estimating quantization error in hexagonal sensory configurations. These include analytic expressions for the average error and the error distribution of a function of an arbitrary number of independently quantized variables. These two quantities are essential for assessing the reliability of a given algorithm. They can also be used to compare the relative sensitivity of a particular algorithm to quantization error for hexagonal and other spatial samplings, e.g., square, and can have an impact on sensor design. Furthermore, it is shown that the ratio of hexagonal error to square error is bounded between 0.90 and 1.05

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:14 ,  Issue: 6 )