A Scale Invariant Neural Feature Detector for Visual Homing
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چکیده
A novel feature detector is presented for extracting local image features which are invariant to scale. This detector is composed of simple neuron-like elements whose activation is given by the sum of their weighted inputs. These features are employed for the visual homing task and found to yield superior performance to the warping method [1] on panoramic images of an unstructured environment.
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تاریخ انتشار 2004