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Object Recognition using Sparse, Reduced-Dimension Point Cloud Data

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Abstract

We use sparse point clouds to develop a reduced-dimension feature for pattern recognition. Using this feature, templates generated from random realization are developed and show reliable discrimination between two objects using a log-likelihood ratio measure.

© 2022 The Author(s)

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