公开(公告)号：US10607117B2

公开(公告)日：2020-03-31

申请号：US15579917

申请日：2016-06-03

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Jorn-Henrik Jacobsen ,  Johannes Christianus Van Gemert ,  Reinier Van Den Boomgaard ,  Zhongyu Lou ,  Arnoldus Wilhelmus Maria Smeulders

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06K9/46 ,  G06N20/00

Abstract: The invention provides a method for recognition of information in digital image data, said method comprising a learning phase on a data set of example digital images having known information, and characteristics of categories are computed automatically from each example digital image and compared to its known category, said method comprises training a convolutional neural network comprising network parameters using said data set, in which via deep learning each layer of said convolutional neural network is represented by a linear decomposition of all filters as learned in each layer into basis functions.