State of the art in shape matching
Principles of visual information retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Isoperimetric Normalization of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Using Functions to Describe the Shape
Journal of Mathematical Imaging and Vision
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
Optimal partial shape similarity
Image and Vision Computing
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Perceptually Motivated Shape Evolution with Shape-Preserving Property
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Perceptually motivated shape evolution with shape-preserving property
Pattern Recognition Letters
Shape evolution driven by a perceptually motivated measure
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
| Hi-index | 0.00 |
In contrast to geometric similarity, perceptual similarity is manifold and much more difficult to handle. Relatively few work is known towards capturing the perceptual similarity. In this work we introduce the concept of local shape width and show that it can be applied to measure the perceptual significance of shape parts. Given such a measure, one can define the influence of the parts as a function of their significance. By doing so, we tend to base the shape matching on perceptually more meaningful parts and reduce the matching relevance of other parts. As an application, we propose a shape evolution approach, which synthesizes a series of new shapes from an input shape. They have the property that perceptually less significant parts smoothly vanish while other parts remain unchanged. This tool can be used in combination with any shape matching algorithm. A second application is proposed to perform non-uniform shape sampling. Experimental results will be given to show the practical usefulness of the local shape width concept.