3 years ago

Enhancing Image Registration Performance by Incorporating Distribution and Spatial Distance of Local Descriptors

A data dependency similarity measure called mp -dissimilarity has been recently proposed. Unlike ℓ p -norm distance which is widely used in calculating the similarity between vectors, mp -dissimilarity takes into account the relative positions of the two vectors with respect to the rest of the data. This paper investigates the potential of mp -dissimilarity in matching local image descriptors. Moreover, three new matching strategies are proposed by considering both ℓ p -norm distance and mp -dissimilarity. Our proposed matching strategies are extensively evaluated against ℓ p -norm distance and mp -dissimilarity on a few benchmark datasets. Experimental results show that mp -dissimilarity is a promising alternative to ℓ p -norm distance in matching local descriptors. The proposed matching strategies outperform both ℓ p -norm distance and mp -dissimilarity in matching accuracy. One of our proposed matching strategies is comparable to ℓ p -norm distance in terms of recall vs 1-precision.

Publisher URL: www.sciencedirect.com/science

DOI: S016786551830014X

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