Name
Abstract | ||
|---|---|---|
We address the problem of retrieving an object description, in the form of a silhouette, from a database of shapes, in a way that is robust with respect to translation, rotation, scale change, and distortion. Algorithms to solve this problem can be a key step in passive assistant software that receives information from available sensors and databases, and provides useful information about the local environment to a visually disabled user (where the assistant input may be in the form of audio). Experiments show significant gains in retrieval accuracy over previous work. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1839294.1839323 | PETRA |
Keywords | Field | DocType |
retrieval accuracy,object description,local environment,key step,disabled user,available sensor,passive assistant software,shape recognition,previous work,assistant input,useful information,image processing | Object description,Computer vision,Simulation,Silhouette,Computer science,Image processing,Software,Human–computer interaction,Artificial intelligence,Distortion | Conference |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonella Di Lillo | 1 | 7 | 2.27 |
| Giovanni Motta | 2 | 88 | 8.98 |
| Kevin Thomas | 3 | 0 | 0.34 |
| James A. Storer | 4 | 931 | 156.06 |