Feature detection from local energy
Pattern Recognition Letters
Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferring global perceptual contours from local features
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
Embedding Gestalt Laws in Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing stochastic completion fields in linear-time using a resolution pyramid
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour and Texture Analysis for Image Segmentation
International Journal of Computer Vision
Detection of General Edges and Keypoints
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Finding Boundaries in Natural Images: A New Method Using Point Descriptors and Area Completion
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Contour Continuity in Region Based Image Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Stochastic completion fields: a neural model of illusory contour shape and salience
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Higher-Order Active Contour Energies for Gap Closure
Journal of Mathematical Imaging and Vision
Learning Probabilistic Models for Contour Completion in Natural Images
International Journal of Computer Vision
Generalizing edge detection to contour detection for image segmentation
Computer Vision and Image Understanding
International Journal of Computer Vision
Patch complexity, finite pixel correlations and optimal denoising
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
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We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A probabilistic formulation of contours demands a prior model and a measurement model. From the image statistics of boundary contours, we derive both the prior model of contour shape and the local likelihood model of image measurements. We observe multi-scale phenomena in the data, and accordingly propose a higher-order Markov model over scales for the contour continuity prior. Various image cues derived from orientation energy are evaluated and incorporated into the measurement model. Based on these models, we have designed a multi-scale algorithm for contour completion, which exploits both contour continuity and texture. Experimental results are shown on a wide range of images.