Name
Abstract | ||
|---|---|---|
This paper presents an approach of shape retrieval using linear regression. This approach extracts object edges from decomposed images in different scale levels and approximates them by the linear regression algorithm Matching Pursuit (MP). MP uses linear combination of circular Gaussian basis functions to reconstruct target edges. Each Gaussian basis function contains several features: scale, position and amplitude, which are used to compute distance of two contours. Shapes are retrieved according to the distances between query image and all images in a database. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/AVSS.2006.103 | AVSS |
Keywords | Field | DocType |
gaussian basis function,linear regression,query image,decomposed image,circular gaussian basis function,linear regression algorithm,shape retrieval,linear combination,different scale level,matching pursuit decomposition,approach extract,matching pursuit,information retrieval,image retrieval,image segmentation,shape | Matching pursuit,Computer vision,Linear combination,Automatic image annotation,Pattern recognition,Computer science,Image retrieval,Image segmentation,Gaussian,Basis function,Artificial intelligence,Visual Word | Conference |
ISBN | Citations | PageRank |
0-7695-2688-8 | 1 | 0.36 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Binhai Wang | 1 | 4 | 2.55 |
| J.A. Bangham | 2 | 484 | 46.38 |