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Adaptive edge-like feature selection during object detection
Adaptive edge-like feature selection during object detection
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机译:目标检测期间的自适应边缘状特征选择
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摘要
A method of recognizing an object of interest in an image includes extracting a first set of features from within the image. Each extracted feature in the first set of features is then categorized as either blob-like or edge-like. A second set of features is then taken from the first set, where a number of the edge-like features to include in the second set of features is based on a relative number of edge-like features to blob-like features included in the first set of extracted features. An object of interest within the image is detected according to the second set of features.
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