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Normalization of Relative Position Descriptors

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Title: Normalization of Relative Position Descriptors
Author: Jazouli, Manal
Department: School of Computer Science
Program: Computer Science
Advisor: Matsakis, Pascal
Abstract: A relative position descriptor (RPD) is a quantitative representation of the position of a spatial object relative to another. RPDs have been used in applications such as scene matching, human-robot interaction, and geospatial information retrieval. RPDs are usually not invariant under geometric transformations (i.e., the RPD changes when a geometric transformation is applied to the objects). However, some RPDs can be normalized and made invariant under these transformations − and this is a desirable property. Here, we review and introduce new normalization methods for well-known RPDs, namely, the force histogram and the φ−descriptor.
Date: 2018-08
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