IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and Vision Computing
Corner characterization by differential geometry techniques
Pattern Recognition Letters
Localization and Noise in Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grey level corner detection: a generalization and a robust real time implementation
Computer Vision, Graphics, and Image Processing
A comparison of splitting methods for the identification of corner-points
Pattern Recognition Letters
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing corners by fitting parametric models
International Journal of Computer Vision
A computational approach for corner and vertex detection
International Journal of Computer Vision
On the Precision in Estimating the Location of Edges and Corners
Journal of Mathematical Imaging and Vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
A hierarchical filter scheme for efficient corner detection
Pattern Recognition Letters
Robust Image Corner Detection Through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary-based corner detection using eigenvalues of covariance matrices
Pattern Recognition Letters
Corner detection via topographic analysis of vector-potential
Pattern Recognition Letters
Image Field Categorization and Edge/Corner Detection from Gradient Covariance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Early Jump-Out Corner Detectors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing and Evaluating Interest Points
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A moment-based unified approach to image feature detection
IEEE Transactions on Image Processing
Accurate junction detection and characterization in line-drawing images
Pattern Recognition
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This paper analyses the behavior in scale space of linear junction models (L, Y and X models), nonlinear junction models, and linear junction multi-models. The variation of the grey level is considered to be constant, linear or nonlinear in the case of linear models and constant for the other models. We are mainly interested in the extrema points provided by the Laplacian of the Gaussian function. Moreover, we show that for infinite models the Laplacian of the Gaussian at the corner point is not always equal to zero.