Object detection in images from the perspective of the active perception theory
Object detection in images is a highly topical problem of theoretical computer science. The effectiveness of object detection depends on the chosen method of presenting the image, i.e. on its feature description. This article describes a new method of feature descriptor construction based on the active perception theory (APT). The results of a computational experiment for evaluating the accuracy of object localization under different conditions are presented.
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