Name
Title | ||
|---|---|---|
Learning from the web: recognition method based on object appearance from internet images |
Abstract | ||
|---|---|---|
In this work an Object Learning and Recognition method for a Humanoid is presented. This method aims to take advantage of the Cloud Resources, since it is based on image web search in order to build training sets for learning objects' appearance. In case Internet access is unavailable, the robot asks human to show the objects and acquires the images using its camera. Through this technique, our method aims to be a flexible and natural framework for Human-Robot Interaction and to provide as much autonomy as possible to the robot.
|
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HRI.2013.6483540 | HRI |
Keywords | Field | DocType |
natural framework,object appearance,image web search,case internet access,human-robot interaction,internet image,recognition method,object learning,training set,cloud resources,computational modeling,principal component analysis,image sensors,robot kinematics,internet,human robot interaction,media,object recognition | Robot learning,Computer science,Human–computer interaction,Artificial intelligence,Human–robot interaction,The Internet,Computer vision,3D single-object recognition,Simulation,Internet access,Cloud robotics,Cloud computing,Cognitive neuroscience of visual object recognition | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4673-3055-8 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrique Hidalgo-Peña | 1 | 0 | 0.34 |
| Luis Felipe Marin-Urias | 2 | 71 | 6.12 |
| Fernando Montes-Gonzalez | 3 | 12 | 3.89 |
| Antonio Marín-hernández | 4 | 15 | 8.47 |
| Homero Vladimir Ríos-Figueroa | 5 | 15 | 7.34 |