Name
Abstract | ||
|---|---|---|
Seeking probability models for images, we employ a spectral approach where the images are decomposed using bandpass filters and probability models are imposed on the filter outputs (also called spectral components). We employ a (two-parameter) family of probability densities, introduced in [11] and called Bessel K forms, for modeling the marginal densities of the spectral components, and demonstrate their fit to the observed histograms for video, infrared, and range images. Motivated by object-based models for image analysis, a relationship between the Bessel parameters and the imaged objects is established. Using \big. L^2\hbox{-}{\rm{metric}}\bigr. on the set of Bessel K forms, we propose a pseudometric on the image space for quantifying image similarities/differences. Some applications, including clutter classification and pruning of hypotheses for target recognition, are presented. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TPAMI.2002.1033212 | Pattern Analysis and Machine Intelligence, IEEE Transactions |
Keywords | Field | DocType |
clutter,image recognition,probability,spectral analysis,target tracking,Bessel K forms,Gabor filters,clutter classification,high-level vision,image analysis,probability models,spectral analysis,spectral approach,target recognition | Pattern recognition,Band-pass filter,Spectral approach,Computer science,Artificial intelligence,Spectral analysis | Journal |
Volume | Issue | ISSN |
24 | 9 | 0162-8828 |
Citations | PageRank | References |
56 | 3.53 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anuj Srivastava | 1 | 2853 | 199.47 |
| Xiuwen Liu | 2 | 744 | 80.44 |
| Ulf Grenander | 3 | 308 | 80.59 |