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Object Localization with Mixture Densities of Wavelet Features
| Content Provider | Semantic Scholar |
|---|---|
| Author | Osl, Josef P. Niemann, Heinrich |
| Copyright Year | 1998 |
| Abstract | In this paper we address the localization of a single 2{D or 3{D object in scenes with complex background. A wavelet transform is applied to the 2{D gray level image for the extraction of local features. We use discrete tensor product wavelets and compute feature values for all image positions from the wavelet coeecients. A statistical object model of these features is deened. The object model is combined with a statistical background model in a mixture density for the image. The object localization is performed with an Expectation Maxi-mization (EM) approach. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www5.informatik.uni-erlangen.de/literature/ps-dir/1998/Poesl98:OLW.ps.gz |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
