We present a new recognition system motivated by human vision for the detection and recognition of objects in real-world images. A computational attention module finds regions of interest in an image and a classifier searches for objects only in these regions. This enables a significantly faster classification. We show how name plates in an office environment are detected by the visual attention module and reliably recognized by the classifier.
Simulating visual attention for object recognition
2004
2004
Aufsatz (Konferenz)
Elektronische Ressource
Unbekannt
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