Name
Abstract | ||
|---|---|---|
We present a new shape descriptor for measuring the similarity between shapes and exploit it in graphical object recognition and retrieval. By statistically integrating the local length-ratio and angle constraints between contour points relative to the shape skeleton, we construct the shape descriptor capturing the global spatial distribution of the shape contour. Then, the dissimilarity between two shapes is computed as a weighted sum of matching errors between corresponding constraint histograms. Experimental results are presented for symbols and shapes data set, showing the effectiveness of our method. |
Year | Venue | Keywords |
|---|---|---|
2010 | PCM (1) | shape skeleton,contour point,graphical object recognition,shape descriptor,corresponding constraint histogram,shape contour,angle constraint,global spatial distribution,new shape descriptor,object recognition |
Field | DocType | Volume |
Histogram,Computer vision,Active shape model,Pattern recognition,Computer science,Artificial intelligence,Shape analysis (digital geometry),Cognitive neuroscience of visual object recognition | Conference | 6297 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-15701-7 | 1 |
PageRank | References | Authors |
0.37 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Su | 1 | 170 | 18.63 |
| tong lu | 2 | 372 | 67.17 |
| Ruoyu Yang | 3 | 47 | 6.47 |