A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge-Labeling Using Dictionary-Based Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Potentials, valleys, and dynamic global coverings
International Journal of Computer Vision
Perceptual Organization for Scene Segmentation and Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing corners by fitting parametric models
International Journal of Computer Vision
Compositionality in neural systems
The handbook of brain theory and neural networks
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Filtering, Segmentation, and Depth
Filtering, Segmentation, and Depth
Logical/Linear Operators for Image Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of General Edges and Keypoints
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Steerable-Scalable Kernels for Edge Detection and Junction Analysis
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Visual Organization of Illusory Surfaces
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Hierarchical Curve Reconstruction. Part I: Bifurcation analysis and Recovery of Smooth Curves
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Local Scale Control for Edge Detection and Blur Estimation
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Global Minimum for Active Contour Models: A Minimal Path Approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Visual Organization for Figure/Ground Separation
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Common Framework for Curve Evolution, Segmentation and Anisotropic Diffusion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A hierarchical approach to high resolution edge contour reconstruction
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Stochastic completion fields: a neural model of illusory contour shape and salience
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Design Considerations for Generic Grouping in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The problem of edge detection is viewed as a hierarchyof detection problems where the geometric objects to be detected(e.g., edge points, curves, regions)have increasing complexity and spatial extent.An early stage of the proposed hierarchy consists in detectingthe regular portions of the visible edges.The input to this stage is given by a graph whose verticesare tangent vectors representing local and uncertaininformation about the edges.A model relating the input vector graph tothe curves to be detected is proposed.An algorithm with linear time complexityis described which solves the corresponding detection problem in a worst-case scenario.The stability of curve reconstruction in the presenceof uncertain information and multiple responses to the same edgeis analyzed and addressed explicitly by the proposed algorithm.