Multi-Camera very wide baseline feature matching based on view-adaptive junction detection

Pérez Rivero, Maykel; Salgado Álvarez de Sotomayor, Luis; Arróspide Laborda, Jon; Marinas Mateos, Javier y Nieto Doncel, Marcos (2012). Multi-Camera very wide baseline feature matching based on view-adaptive junction detection. En: "Third International Conference on Emerging Security Technologies (EST 2012)", 05/09/2012 - 07/09/2012, Lisbon, Portugal. pp. 74-77. https://doi.org/10.1109/EST.2012.34.

Descripción

Título: Multi-Camera very wide baseline feature matching based on view-adaptive junction detection
Autor/es:
  • Pérez Rivero, Maykel
  • Salgado Álvarez de Sotomayor, Luis
  • Arróspide Laborda, Jon
  • Marinas Mateos, Javier
  • Nieto Doncel, Marcos
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Third International Conference on Emerging Security Technologies (EST 2012)
Fechas del Evento: 05/09/2012 - 07/09/2012
Lugar del Evento: Lisbon, Portugal
Título del Libro: Third International Conference on Emerging Security Technologies (EST 2012)
Fecha: 2012
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 30495
Identificador DC: http://oa.upm.es/30495/
Identificador OAI: oai:oa.upm.es:30495
Identificador DOI: 10.1109/EST.2012.34
Depositado por: Memoria Investigacion
Depositado el: 10 Ago 2014 09:33
Ultima Modificación: 22 Abr 2016 00:46
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