Name
Abstract | ||
|---|---|---|
RGB-D cameras allow to capture digital representations of objects in an easy and inexpensive way. Such technology enables ordinary users to capture everyday object into digital 3D representations. In this context, we present a track for the Shape Retrieval Contest, which focus on objects digitized using the latest version of Microsoft Kinect, namely, Kinect One. The proposed, track encompasses a dataset of two hundred objects and respective classification. |
Year | Venue | Field |
|---|---|---|
2016 | 3DOR | Computer vision,Relevance feedback,Computer graphics (images),Computer science,CONTEST,Artificial intelligence,RGB color model |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 16 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro B. Pascoal | 1 | 38 | 3.11 |
| Pedro F. Proença | 2 | 13 | 2.70 |
| Filipe Gaspar | 3 | 0 | 0.34 |
| Miguel Sales Dias | 4 | 133 | 24.96 |
| Alfredo Ferreira | 5 | 172 | 18.40 |
| A. Tatsuma | 6 | 185 | 10.86 |
| M. Aono | 7 | 643 | 60.79 |
| K. Berker Logoglu | 8 | 8 | 2.64 |
| Sinan Kalkan | 9 | 313 | 31.83 |
| Alptekin Temizel | 10 | 98 | 14.79 |
| Bo Li | 11 | 0 | 0.34 |
| Henry Johan | 12 | 355 | 29.36 |
| Yijuan Lu | 13 | 732 | 46.24 |
| Viktor Seib | 14 | 19 | 8.41 |
| Norman Link | 15 | 0 | 0.34 |
| Dietrich Paulus | 16 | 377 | 71.34 |