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<p>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.</p>
picture processing; computer vision; error statistics; algorithm reliability; hexagonal sensory configurations; quantization error; average error; error distribution; spatial samplings; computer vision; error statistics; picture processing

B. Kamgar-Parsi and B. Kamgar-Parsi, "Quantization Error in Hexagonal Sensory Configurations," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 14, no. , pp. 665-671, 1992.
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