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Comment retrouver une constellation dans la galaxie ?

Alexis Zubiolo 1, * Kawssar Harb 2 Michèle Studer 2 Eric Debreuve 1 Xavier Descombes 1 
* Corresponding author
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper, we propose an approach to find a subset of n-dimensional points within a larger set. The idea is to match objects detected in images at different resolutions. To do so, we use a complete bipartite graph model whose vertices are weighted by the cost of assignment problems. The proposed method is tested on randomly generated data emphasizing on some particular cases as well as on real data (matching neurons in two different types of 3D microscopic images of mice cortices and automatically detecting a constellation in an image of the night sky).
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Submitted on : Thursday, July 16, 2015 - 12:07:10 PM
Last modification on : Thursday, August 4, 2022 - 4:56:14 PM
Long-term archiving on: : Wednesday, April 26, 2017 - 6:14:33 AM


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  • HAL Id : hal-01176960, version 1



Alexis Zubiolo, Kawssar Harb, Michèle Studer, Eric Debreuve, Xavier Descombes. Comment retrouver une constellation dans la galaxie ?. Colloque Gretsi, Sep 2015, Lyon, France. pp.4. ⟨hal-01176960⟩



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