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- W2098049229 abstract "In this paper, we propose a very simple method to detect an object from a camera-taken 2-D image when many objects are presented in a scene. The advantage of this method is its simplicity for use. In this method, a camera-taken image is blurred with high spatial resolution near the optical axis of the camera, and with lower resolution in the periphery. Such inhomogeneous image processing, which resembles to a primate's vision, is very effective to determine the position of each object in a scene one after another. This method is implemented into our proposed active vision system which send the position data of each target object to a robot hand controller in order to assist hand manipulation. In experiments, we show that the position of each object is detected quite easily and precisely enough for robot hand manipulation. >" @default.
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- W2098049229 date "2002-12-17" @default.
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- W2098049229 title "Auto target detection for robot hand manipulation using an anthropomorphic active vision system" @default.
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- W2098049229 doi "https://doi.org/10.1109/mfi.1994.398396" @default.
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