Toward semantic-shape-context-based augmented descriptor
type: Dataset
description: This manuscript presents an extension of feature description and matching strategies by proposing an original approach to learn the semantic information of local features. This semantic is then exploited, in conjunction with the bag-of-words paradigm, to build a powerful feature descriptor. The approach, ended up by combining local and context information into a single descriptor, is also a generalized method for improving the performance of the local features, in terms of distinctiveness and robustness under geometric image transformations and imaging conditions. The performance of the proposed approach is evaluated on real world data sets as well as in both the 2D and 3D domains. The 2D domain application addresses the problem of image feature matching while in 3D domain, we resolve the issue of matching and alignment of multiple range images. The evaluation results showed our approach performs significantly better than expected results as well as in comparison with other methods.
identifier: NNT: 2012CLF22297
issued: 2026-05-10T00:54:08.485990
language: en
modified: 2026-05-10T00:54:08.485995
contact point: Organization
  fn: CCSD
keyword: bag-of-words
keyword: descripteurs-locaux-et-globaux
keyword: description-et-appariement-delements-caracteristiques
keyword: feature-description-and-matching
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-ohcomputer-science-csother-csoh
keyword: information-contextuelle
keyword: information-semantique
keyword: local-and-global-descriptors
keyword: mots-visuels
keyword: range-image-registration
keyword: recalage-de-vues-partielles-tridimensionnelles
keyword: sac-de-mots
keyword: semantic-information
keyword: shape-context
keyword: spiotherengineering-sciences-physicsother
keyword: theses
keyword: visual-words
landing page: https://theses.hal.science/tel-00853815

Toward semantic-shape-context-based augmented descriptor
type: Distribution
format: HTML
issued: 2026-05-10T00:54:08.503106
modified: 2026-05-10T00:54:08.469784
access URL: https://theses.hal.science/tel-00853815

test_moissonnage_selune
type: Agent