Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Convexity rule for shape decomposition based on discrete contour evolution
Computer Vision and Image Understanding
Geometric partial differential equations and image analysis
Geometric partial differential equations and image analysis
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Numerical Geometry of Images: Theory, Algorithms, and Applications
Numerical Geometry of Images: Theory, Algorithms, and Applications
Shape evolution driven by a perceptually motivated measure
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
An approach to perceptual shape matching
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
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In this paper we introduce a novel concept of shape evolution. It is perceptually motivated and takes the local shape symmetry into account. In particular, during the new shape evolution the shape parts in accordance with the human perception are removed step by step and the coarse parts remain geometrically unchanged during removing the fine parts. This shape-preserving property cannot be achieved by the popular Gaussian smoothing (evolution based on geometric heat flow) and related variants. Experimental results demonstrate the behavior and power of this new shape evolution scheme.