Image clustering with metric, local linear structure, and affine symmetry
US7248738B2 · kind B2 · utility
7Cited by
2References
6Claims
0Family size
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Key dates
| Filing date | Nov 15, 2004 |
| Grant date | Jul 24, 2007 |
| Priority date | — |
| Expiry date | Mar 4, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and a method are disclosed for clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, an unsupervised algorithm groups the images into N disjoint subsets such that each subset only contains images of a single object. The clustering method makes use of a broad geometric framework that exploits the interplay between the geometry of appearance manifolds and the symmetry of the 2D affine group.
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