Memorias de investigación
Ponencias en congresos:
Multi-Camera Very Wide Baseline Feature Matching Based On View-Adaptive Junction Detection
Año:2012
Áreas de investigación
  • Ingenierías,
  • Procesado y análisis de la señal
Datos
Descripción
This paper presents a strategy for solving the feature matching problem in calibrated very wide-baseline camera settings. In this kind of settings, perspective distortion, depth discontinuities and occlusion represent enormous challenges. The proposed strategy addresses them by using geometrical information, specifically by exploiting epipolar-constraints. As a result it provides a sparse number of reliable feature points for which 3D position is accurately recovered. Special features known as junctions are used for robust matching. In particular, a strategy for refinement of junction end-point matching is proposed which enhances usual junction-based approaches. This allows to compute cross-correlation between perfectly aligned plane patches in both images, thus yielding better matching results. Evaluation of experimental results proves the effectiveness of the proposed algorithm in very wide-baseline environments.
Internacional
Si
Nombre congreso
Int. Conf. on Emerging Security Technologies
Tipo de participación
960
Lugar del congreso
Lisbon, Portugal
Revisores
Si
ISBN o ISSN
978-1-4673-2448-9
DOI
10.1109/EST.2012.34
Fecha inicio congreso
05/09/2012
Fecha fin congreso
07/09/2012
Desde la página
74
Hasta la página
77
Título de las actas
Proc. of Int. Conf. on Emerging Security Technologies, EST 2012
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Maykel Pérez Rivero UPM
  • Autor: Luis Salgado Alvarez de Sotomayor UPM
  • Autor: Jon Arróspide Laborda UPM
  • Autor: Javier Marinas Mateos UPM
  • Autor: Marcos Nieto Doncel
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)