Extracting Salient Curves from Images: An Analysis of the Saliency Network
International Journal of Computer Vision
Hierarchical Image Segmentation—Part I: Detection of Regular Curves in a Vector Graph
International Journal of Computer Vision
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Multiple Contour Finding and Perceptual Grouping using Minimal Paths
Journal of Mathematical Imaging and Vision
On the Automated Construction of Image-Based Maps
Autonomous Robots
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Euler Spiral for Shape Completion
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Ground from Figure Discrimination
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extending anisotropic operators to recover smooth shapes
Computer Vision and Image Understanding
On the Distribution of Saliency
IEEE Transactions on Pattern Analysis and Machine Intelligence
A model for subjective contour by anisotropic potential field maximization
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Extending anisotropic operators to recover smooth shapes
Computer Vision and Image Understanding
Anisotropic potential field maximization model for subjective contour from line figure
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Optimal contour closure by superpixel grouping
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
On the distribution of saliency
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Computational-geometry approach to digital image contour extraction
Transactions on computational science XIII
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
SLEDGE: Sequential Labeling of Image Edges for Boundary Detection
International Journal of Computer Vision
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We describe an algorithm and representation level theory of illusory contour shape and salience. Unlike previous theories, our model is derived from a single assumption-namely, that the prior probability distribution of boundary completion shape can be modeled by a random walk in a lattice whose points are positions and orientations in the image plane (i.e. the space which one can reasonably assume is represented by neurons of the mammalian visual cortex). Our model does not employ numerical relaxation or other explicit minimization, but instead relies on the fact that the probability that a particle following a random walk will pass through a given position and orientation on a path joining two boundary fragments can be computed directly as the product of two vector-field convolutions. We show that for the random walk we define, the maximum likelihood paths are curves of least energy, that is, on average, random walks follow paths commonly assumed to model the shape of illusory contours. A computer model is demonstrated on numerous illusory contour stimuli from the literature.