Skip to Main content Skip to Navigation
Conference papers

Incremental learning for interactive sketch recognition

Abstract : In this paper, we present the integration of a classifier, based on an incremental learning method, in an interactive sketch analyzer. The classifier recognizes the symbol with a degree of confidence. Sometimes the analyzer considers that the response is insufficient to make the right decision. The decision process then solicits the user to explicitly validate the right decision. The user associates the symbol to an existing class, to a newly created class or ignores this recognition. The classifier learns during the interpretation phase. We can thus have a method for auto-evolutionary interpretation of sketches. In fact, the user participation has a great impact to avoid error accumulation during the analysis. This paper demonstrates this integration in an interactive method based on a competitive breadth-first exploration of the analysis tree for interpreting the 2D architectural floor plans.
Document type :
Conference papers
Complete list of metadata

Cited literature [7 references]  Display  Hide  Download
Contributor : Achraf Ghorbel Connect in order to contact the contributor
Submitted on : Tuesday, November 29, 2011 - 11:56:36 AM
Last modification on : Tuesday, October 19, 2021 - 11:58:55 PM
Long-term archiving on: : Monday, December 5, 2016 - 1:22:25 AM


Files produced by the author(s)


  • HAL Id : hal-00646137, version 1


Achraf Ghorbel, Abdullah Almaksour, Aurélie Lemaitre, Eric Anquetil. Incremental learning for interactive sketch recognition. Ninth IAPR International Workshop on Graphics RECognition, Sep 2011, Séoul, South Korea. ⟨hal-00646137⟩



Les métriques sont temporairement indisponibles