IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization and Curve Partitioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional, model-based, boundary matching using footprints
International Journal of Robotics Research
Partial Shape Recognition Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape matching using curvature processes
Computer Vision, Graphics, and Image Processing
Computational Geometry for Design and Manufacture
Computational Geometry for Design and Manufacture
Orientation Space Filtering for Multiple Orientation Line Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localized Video Compression for Machine Vision
RobVis '01 Proceedings of the International Workshop on Robot Vision
CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams
Proceedings of the seventeenth conference on Hypertext and hypermedia
A curve matching algorithm for dynamic image sequences
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves
International Journal of Computer Vision
Video mobile communication: a memory-based approach
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
A memory-based approach to multimedia and video transmission
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
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2-D shape boundary segmentation is required as a fundamental and important stage in the recognition of partially occluded objects. We introduce here a new segmentation method capable of extracting a controlled number of segments along a smooth boundary curve. This new approach is invariant to similarity transformation, and partial occlusion has only marginal influence on the segmentation of the visible part. The basic concept is to transform the curve into another one which intersects itself. Points of intersection of the new curve are re-transformed to the original curve and serve as endpoints of segments. Properties of the transform are discussed, and conditions for existence of intersection points are given. Simulation results of gray level images are presented, and advantages of our method over conventional approaches relying on singular points of the curvature are discussed.