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Conference Papers Year : 2014

Multiscale Shape Description with Laplacian Profile and Fourier Transform

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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.
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Dates and versions

hal-01079658 , version 1 (03-11-2014)

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Evanthia Mavridou, James L. Crowley, Augustin Lux. Multiscale Shape Description with Laplacian Profile and Fourier Transform. International Conference on Image Analysis and Recognition, ICIAR 2014, Oct 2014, Vilamoura, Algarve, Portugal. pp.46 - 54, ⟨10.1007/978-3-319-11758-4_6⟩. ⟨hal-01079658⟩
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