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Génération d'hypothèses de façades utilisant des critères contextuels et structurels
Génération d'hypothèses de façades utilisant des critères contextuels et structurels
Abstract : In that article we focus on facade detection in order to improve image/model buildings matching for pose computation in urbain environnement. We use a two-step design. First a cascade of LogitBoost classifiers using features which describe local context selects a few windows from a set of windows drawn on an a priori distribution. These facade candidates are then more internally described using their Haar-Fourier representation. Eventually they are discarded or kept by a strong classifier SVM. Results are computed from a 410-set of urban images.
Cited literature [15 references]
https://hal.inria.fr/hal-01318680
Contributor : Antoine Fond Connect in order to contact the contributor
Submitted on : Thursday, May 19, 2016 - 6:00:17 PM
Last modification on : Wednesday, November 3, 2021 - 7:08:53 AM
Contributor : Antoine Fond Connect in order to contact the contributor
Submitted on : Thursday, May 19, 2016 - 6:00:17 PM
Last modification on : Wednesday, November 3, 2021 - 7:08:53 AM
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