Design of an intelligent tutoring system for geometry learning based on on-the-fly interpretation of hand-drawn figures production. Defended on december 4th 2020 Abstract This PhD is in the context of the « e-Fran » national project called ACTIF and deals with the design of pen-based intelligent tutoring system…
Combinaison de données hétérogènes pour la reconnaissance d’images de documents Soutenue le 3 novembre 2020 Résumé Ce manuscrit est une synthèse de mes travaux de recherche depuis 2008, au sein de l’équipe Intuidoc de l’Irisa. Ces travaux portent sur l’analyse automatique d’images de documents numérisés, et plus particulièrement la reconnaissance…
PhD student: Martin Dornier Supervisors: Philippe Henri Gosselin, Christian Raymond, Yann Ricquebourg et Bertrand Coüasnon CIFRE grant with Interdigital
PhD Student: Kiilian Barrère Supervisors: Bertrand Couäsnon, Aurélie Lemaitre, Yann Soullard
PhD student: William Mocaër Supervisors: Eric ANQUETIL Richard KULPA Project: Digisport EUR
Description In the context of a work on text-lines localization in handwritten documents containing tables, we proposed to evaluate our system on a subset of cBAD (Competition on Baseline Detection, ICDAR 2017 [1]) dataset (track B) that contains exclusively documents with tabular structures. The dataset of the cBAD competition is…
Reconnaissance en-ligne d’actions 3D par l’analyse des trajectoires du squelette humain Soutenue le 11 juillet 2018 Résumé L’objectif de cette thèse est de concevoir une approche transparente originale apte à détecter en temps-réel l’occurrence d’une action, dans un flot non segmenté et idéalement le plus tôt possible. Ces travaux s’inscrivent…
Description This work takes place in the context of the thesis of of Kwon-Young Choi on the subject of resolving segmentation problems in dense and damaged printed piano scores from the 1750 to 1950 period. This data set contains 2955 images with annotations for the task of detecting or rejecting…
Presentation: Different from existing dynamic hand gesture datasets, LMDHG contains unsegmented sequences of hand gestures performed with either one hand or both hands. This dataset can therefore be used for recognition of both pre-segmented and unsegmented dynamic hand gestures using skeleton data. Download the database Download database information Content: There…
Description This work takes place in the context of the “FamilySearch” database proposed for the structure recognition competition during HIP’2013 workshop (satellite of ICDAR 2013)/ This competition focus on the localisation of 4 regions of interest inside of documents, and then a clustering in order to gather similar fields. A…
