Perception strategy for scene understanding using a focusing approach, application to objects recognition
type: Dataset
description: This report deals with the scientific problem of objects visual recognition within an observed scene. We propose an approache going from object's model building to the definition of a strategy for its future recognition. From the representation point of view, this methodology can represente the structure of the object as well as its appearance from multiple features. These last ones are used as attentional clues during the recognition stage. In this framework, the recognition of the object consists in instantiate it in the current scene. The recognition task is an active process of hypothesis generation/verification driven by a focusing principle. Focus acts on four levels of the "
landing page: https://theses.hal.science/tel-00926395
identifier: NNT: 2007CLF21803
keyword: analyse-de-scenes-informatique
keyword: imagerie-tridimensionnelle
keyword: infoeu-reposemanticsdoctoralthesis
keyword: perception-des-formes
keyword: perception-des-visages
keyword: perception-visuelle
keyword: reconnaissance-des-formes-informatique
keyword: spiautoengineering-sciences-physicsautomatic
keyword: theses
keyword: vision-artificielle-robotique
keyword: vision-par-ordinateur
issued: 2026-05-07T13:52:54.802438
modified: 2026-05-07T13:52:54.802442
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Perception strategy for scene understanding using a focusing approach, application to objects recognition
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00926395
issued: 2026-05-07T13:52:54.810357
modified: 2026-05-07T13:52:54.789305