Method for learning rejector by forming classification tree in use of training images and detecting object in test images, and rejector using the same
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United States of America Patent
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Oct 18, 2016
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N/A
app pub date -
Apr 1, 2016
filing date -
Apr 1, 2016
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Abstract
A method for learning a rejector is provided. The method includes steps of: acquiring features from positive images and negative images of the classification tree; and deciding a specific feature ID and a specific threshold by which a minimum classification error is derived by referring to a histogram of features of positive images and that of features of negative images if a number of images classified to a k-th node is larger than that classified to a brother node of the k-th node as a result of classifying images acquired with respect to a parent node of the k-th node based on a determined feature ID and a determined threshold for the parent node and then allocating the specific feature ID and the specific threshold in nodes, which have depth equal to the k-th node of the classification tree.
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