Name
Abstract | ||
|---|---|---|
This paper introduces an efficient way of representing textures using connected regions which are formed by coherent multi-scale over-segmentations. We show that the recently introduced covariance-based similarity measure, initially applied on rectangular windows, can be used with our newly devised, irregular structure-coherent patches; increasing the discriminative power and consistency of the texture representation. Furthermore, by treating texture in multiple scales, we allow for an implicit encoding of the spatial and statistical texture properties which are persistent across scale. The meaningfulness and efficiency of the covariance based texture representation is verified utilizing a simple binary segmentation method based on min-cut. Our experiments show that the proposed method, despite the low dimensional representation in use, is able to effectively discriminate textures and that its performance compares favorably with the state of the art. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76386-4_5 | ACCV (1) |
Keywords | Field | DocType |
coherent multi-scale over-segmentations,discriminative power,simple binary segmentation method,multi-scale region,efficient texture representation,low dimensional representation,statistical texture property,discriminate texture,covariance-based similarity measure,texture representation,connected region | Binary segmentation,Computer vision,Pattern recognition,Similarity measure,Computer science,Image segmentation,Artificial intelligence,Discriminative model,Texture filtering,Encoding (memory),Texture representation,Covariance | Conference |
Volume | ISSN | ISBN |
4843 | 0302-9743 | 3-540-76385-6 |
Citations | PageRank | References |
10 | 0.61 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Horst Wildenauer | 1 | 126 | 12.81 |
| Branislav Mičušík | 2 | 183 | 10.67 |
| Markus Vincze | 3 | 1343 | 136.87 |