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• W1480710408 abstract "We present a modular architecture for recognition and localization of objects in a scene that is motivated from coupling the ventral (“what”) and dorsal (“where”) pathways of human visual processing. Our main target is to demonstrate how online learning can be used to bootstrap the representation from nonspecific cues like stereo depth towards object-specific representations for recognition and detection. We show the realization of the system learning objects in a complex real-world environment and investigate its performance.KeywordsObject RecognitionOnline LearningEqual Error RatePeripersonal SpaceDorsal PathwayThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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• W1480710408 date "2008-05-08" @default.
• W1480710408 modified "2023-10-03" @default.
• W1480710408 title "Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture" @default.
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• W1480710408 doi "https://doi.org/10.1007/978-3-540-79547-6_37" @default.
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