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Multiscale Shape Description with Laplacian Profile and Fourier Transform
Abstract : We propose a new local multiscale image descriptor of vari-able size. The descriptor combines Laplacian of Gaussian values at dif-ferent scales with a Radial Fourier Transform. This descriptor provides a compact description of the appearance of a local neighborhood in a manner that is robust to changes in scale and orientation. We evaluate this descriptor by measuring repeatability and recall against 1-precision with the Affine Covariant Features benchmark dataset and as well as with a set of textureless images from the MIRFLICKR Retrieval Evalu-ation dataset. Experiments reveal performance competitive to the state of the art, while providing a more compact representation.
Cited literature [17 references]
https://hal.inria.fr/hal-01079658
Contributor : Evanthia Mavridou <>
Submitted on : Monday, November 3, 2014 - 1:59:48 PM
Last modification on : Thursday, November 19, 2020 - 12:59:53 PM
Long-term archiving on: : Wednesday, February 4, 2015 - 10:35:44 AM
Contributor : Evanthia Mavridou <>
Submitted on : Monday, November 3, 2014 - 1:59:48 PM
Last modification on : Thursday, November 19, 2020 - 12:59:53 PM
Long-term archiving on: : Wednesday, February 4, 2015 - 10:35:44 AM
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iciar2014 (1).pdf
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