Constrained Symmetry for Change Detection
Shape, Contour and Grouping in Computer Vision
VR modeler: from image sequences to 3D models
Proceedings of the 20th spring conference on Computer graphics
Classification of coins using an eigenspace approach
Pattern Recognition Letters
Geometry and construction of straight lines in log-polar images
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Evaluating edge detection through boundary detection
EURASIP Journal on Applied Signal Processing
Segregation of moving objects using elastic matching
Computer Vision and Image Understanding
Groups of Adjacent Contour Segments for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deriving topological representations from edge images
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Block-based image compression with parameter-assistant inpainting
IEEE Transactions on Image Processing
Robust line detection using two-orthogonal direction image scanning
Computer Vision and Image Understanding
Comparative evaluation of noise insensitivity of linear edge detection techniques
Pattern Recognition and Image Analysis
Novel statistical approaches to the quantitative combination of multiple edge detectors
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Quantification of emphysema severity by histogram analysis of CT scans
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
The DSC algorithm for edge detection
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Segregation of moving objects using elastic matching
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Edge Drawing: A combined real-time edge and segment detector
Journal of Visual Communication and Image Representation
Comparative evaluation of linear edge detection methods
Pattern Recognition and Image Analysis
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Recently, vision research has centred on the extraction and organization of geometric features, and on geometric relations. It is largely assumed that topological structure, that is linked edgel chains and junctions, cannot be extracted reliably from image intensity data. In this paper we demonstrate that this view is overly pessimistic and that visual tasks, such as perceptual grouping, can be carried out much more efficiently and reliably if well-formed topological structures are available. Towards this end, we describe an edge detection algorithm designed to recover much better scene topology than previously considered possible. In doing this we need make no sacrifice to geometric accuracy of the edge description.