Computational vision
CVGIP: Image Understanding
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
A Framework for Performance Characterization of Intermediate-Level Grouping Modules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual organization in computer vision: status, challenges, and potential
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
Uncertain reasoning and learning for feature grouping
Computer Vision and Image Understanding
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Class-based grouping in perspective images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Steerable wedge filters for local orientation analysis
IEEE Transactions on Image Processing
Cognitive vision: The case for embodied perception
Image and Vision Computing
Visual bootstrapping for unsupervised symbol grounding
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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The work presents a methodology contributing to boundary extraction in images of approximate polyhedral objects. We make extensive use of basic principles underlying the process of image formation and thus reduce the role of object-specific knowledge. Simple configurations of line segments are extracted subject to geometric-photometric compatibilities. The perceptual organization into polygonal arrangements is based on geometric regularity compatibilities under projective transformation. The combination of several types of compatibilities yields a saliency function for extracting a list of most salient structures. Based on systematic measurements during an experimentation phase the adequacy and degrees of compatibilities are determined. The methodology is demonstrated for objects of various shapes located in cluttered scenes.