Accurate junction detection and characterization in natural images
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Publication:903425
DOI10.1007/s11263-013-0640-1zbMath1328.68253OpenAlexW2105548357MaRDI QIDQ903425
Julie Delon, Yann Gousseau, Gui-Song Xia
Publication date: 6 January 2016
Published in: International Journal of Computer Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11263-013-0640-1
a-contrario methodcontrast invariancejunction detectionscale characterizationscale-invariant keypoints
Related Items (4)
An anisotropic a contrario framework for the detection of convergences in images ⋮ Corner detection using multi-directional structure tensor with multiple scales ⋮ Joint contours, corner and T-junction detection: an approach inspired by the mammal visual system ⋮ Angular Accuracy of Steerable Feature Detectors
Uses Software
Cites Work
- Coding images with local features
- Meaningful alignments
- Junction detection and grouping with probabilistic edge models and Bayesian \(A^{\ast}\)
- A model-based approach to junction detection using radial energy
- A Statistical Approach to the Matching of Local Features
- Shape Recognition Based on an a Contrario Methodology
- An Improved Curvature Scale-Space Corner Detector and a Robust Corner Matching Approach for Transformed Image Identification
- Evaluation of interest point detectors
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