Communications at congresses:
Multi-Camera Very Wide Baseline Feature Matching Based On View-Adaptive Junction Detection
Year:2012
Research Areas
- Engineering,
- Processing and signal analysis
Information
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Abstract
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| 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. | |
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International
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Si |
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Congress
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Int. Conf. on Emerging Security Technologies |
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960 |
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Place
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Lisbon, Portugal |
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Reviewers
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Si |
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ISBN/ISSN
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978-1-4673-2448-9 |
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10.1109/EST.2012.34 |
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Start Date
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05/09/2012 |
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End Date
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07/09/2012 |
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From page
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74 |
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To page
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77 |
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Proc. of Int. Conf. on Emerging Security Technologies, EST 2012 |
Open Access publication
Participants
- 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
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)