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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bronstein, M.M. Kokkinos, I. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, Technion - Israel Institute of Technology, Haifa 32000, Israel (Bronstein, M.M.) || Laboratoire de Mathématiques Appliquées aux Systèmes, École Centrale de Paris, France, Equipe GALEN, INRIA Saclay - Île-de-France, Orsay, France (Kokkinos, I.) |
| Abstract | One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations the shape can undergo. Recently, heat kernel signature was introduced as an intrinsic local shape descriptor based on diffusion scale-space analysis. In this paper, we develop a scale-invariant version of the heat kernel descriptor. Our construction is based on a logarithmically sampled scale-space in which shape scaling corresponds, up to a multiplicative constant, to a translation. This translation is undone using the magnitude of the Fourier transform. The proposed scale-invariant local descriptors can be used in the bag-of-features framework for shape retrieval in the presence of transformations such as isometric deformations, missing data, topological noise, and global and local scaling. We get significant performance improvement over state-of-the-art algorithms on recently established non-rigid shape retrieval benchmarks. |
| Starting Page | 1704 |
| Ending Page | 1711 |
| File Size | 2168721 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539838 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Shape Information retrieval Image analysis Internet Extraterrestrial measurements Geometry Image retrieval Image sampling Computer vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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