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

Pérez Rivero, Maykel and Salgado Álvarez de Sotomayor, Luis and Arróspide Laborda, Jon and Marinas Mateos, Javier and Nieto Doncel, Marcos (2012). Multi-Camera very wide baseline feature matching based on view-adaptive junction detection. In: "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.

Description

Title: Multi-Camera very wide baseline feature matching based on view-adaptive junction detection
Author/s:
  • Pérez Rivero, Maykel
  • Salgado Álvarez de Sotomayor, Luis
  • Arróspide Laborda, Jon
  • Marinas Mateos, Javier
  • Nieto Doncel, Marcos
Item Type: Presentation at Congress or Conference (Article)
Event Title: Third International Conference on Emerging Security Technologies (EST 2012)
Event Dates: 05/09/2012 - 07/09/2012
Event Location: Lisbon, Portugal
Title of Book: Third International Conference on Emerging Security Technologies (EST 2012)
Date: 2012
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 30495
DC Identifier: http://oa.upm.es/30495/
OAI Identifier: oai:oa.upm.es:30495
DOI: 10.1109/EST.2012.34
Deposited by: Memoria Investigacion
Deposited on: 10 Aug 2014 09:33
Last Modified: 22 Apr 2016 00:46
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