Learning apparatus, density measuring apparatus, learning method, computer program product, and density measuring system
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United States of America Patent
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Feb 7, 2017
Grant Date -
Aug 27, 2015
app pub date -
Feb 9, 2015
filing date -
Feb 21, 2014
priority date (Note) -
In Force
status (Latency Note)
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Abstract
A first extracting unit extracts partial images from a learning image. A first calculator calculates a feature amount of the partial image. A retrieving unit retrieves objects included in the partial image, and gives, as a label, a vector to the feature amount. The vector represents relative positions between a first position in the partial image and each object included in the partial image. A voting unit generates a voting histogram for each partial image. A learning unit divides the feature amount of each partial image into clusters to reduce variation of the corresponding voting histogram, so as to learn a regression model representing a relationship between the feature amount of the partial image and the relative position of the object included in the partial image. A first predicting unit predicts, for each cluster, a representative label from the label given to the feature amount belonging to the cluster.
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