Detecting and Recognizing Objects In Natural Images
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Google Tech Talks
March 9, 2007
ABSTRACT
This talk describes recent work of the UCLA Center for Image and Vision Science for learning to detect and recognize objects in natural images. This includes a real-time system for detecting text in unconstrained environments. Other examples include unsupervised learning of probabilistic grammars for detecting, recognizing, and segmenting objects. Credits: Speaker:Alan Yuille
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