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- W2106321383 abstract "In this paper we study object recognition on a humanoid robotic head. The head is equipped with a stereo vision system with two cameras in each eye, where the cameras have lenses with different view angles. Such a system models the foveated structure of a human eye. To facilitate the pursuit of moving objects, we provide mathematical analysis that enables the robot to guide the narrow-view cameras toward the object of interest based on information extracted from the wider views. Images acquired by narrow-view cameras, which produce object images at higher resolutions, are used for recognition. The proposed recognition approach is view-based and is built around a classifier using nonlinear multi-class support vector machines with a special kernel function. We show experimentally that the increased resolution leads to higher recognition rates." @default.
- W2106321383 created "2016-06-24" @default.
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- W2106321383 date "2008-12-01" @default.
- W2106321383 modified "2023-09-25" @default.
- W2106321383 title "Control and recognition on a humanoid head with cameras having different field of view" @default.
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- W2106321383 doi "https://doi.org/10.1109/icpr.2008.4761038" @default.
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