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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Raftopoulos, K.A. Ferecatu, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Centre d'Etudes et De Rech. en Inf. et Commun.(CEDRIC), Conservatoire Nat. des Arts et Metiers (CNAM), Paris, France (Raftopoulos, K.A.; Ferecatu, M.) |
| Abstract | A method for identifying shape features of local nature on the shape's boundary, in a way that is facilitated by the presence of noise is presented. The boundary is seen as a real function. A study of a certain distance function reveals, almost counter-intuitively, that vertices can be defined and localized better in the presence of noise, thus the concept of noising, as opposed to smoothing, is conceived and presented. The method works on both smooth and noisy shapes, the presence of noise having an effect of improving on the results of the smoothed version. Experiments with noise and a comparison to state of the art validate the method. |
| Starting Page | 4162 |
| Ending Page | 4168 |
| File Size | 435976 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479951185 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2014.530 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Shape Noise measurement Smoothing methods Feature extraction Reactive power Equations Object Recognition Vertex Noising Vertex Localization Noise Resistance Shape Representation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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