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Domain-Size Pooling in Local Descriptors: DSP-SIFT

2019-12-17 | |  103 |   42 |   0

Abstract

We introduce a simple modifification of local image descriptors, such as SIFT, based on pooling gradient orientations across different domain sizes, in addition to spatial locations. The resulting descriptor, which we call DSPSIFT, outperforms other methods in wide-baseline matching benchmarks, including those based on convolutional neural networks, despite having the same dimension of SIFT and requiring no training

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