Name
Abstract | ||
|---|---|---|
We present a modular architecture for image understanding and active computer vision which consists of the following major components: sensor and actor interfaces required for data-driven active vision are encapsulated to hide machine-dependent parts; image segmentation is implemented in object-oriented programming as a hierarchy of image operator classes, guaranteeing simple and uniform interfaces. We apply this architecture to appearance-based object recognition. This is used for an autonomous mobile service robot which has to locate objects using visual sensors. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/CAMP.2000.875955 | Padova |
Keywords | Field | DocType |
object-oriented design,following major component,mobile systems,autonomous mobile service robot,image operator class,object recognition,data-driven active vision,modular architecture,appearance-based object recognition,machine-dependent part,image understanding,computer vision system,active computer vision,active computer vision system,scene analysis,image segmentation,object oriented design,computer vision,active vision,face detection,speech,object oriented programming,computer architecture,layout | Computer vision,Architecture,Active vision,Object-oriented programming,Computer science,Image segmentation,Artificial intelligence,Operator (computer programming),Face detection,Hierarchy,Cognitive neuroscience of visual object recognition | Conference |
ISBN | Citations | PageRank |
0-7695-0740-9 | 1 | 0.34 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Paulus | 1 | 64 | 6.46 |
| C. Drexler | 2 | 1 | 0.34 |
| M. Reinhold | 3 | 1 | 0.34 |
| M. Zobel | 4 | 1 | 0.34 |
| J. Denzler | 5 | 72 | 7.34 |