- 专利标题： SHAPE-BASED SEGMENTATION USING HIERARCHICAL IMAGE REPRESENTATIONS FOR AUTOMATIC TRAINING DATA GENERATION AND SEARCH SPACE SPECIFICATION FOR MACHINE LEARNING ALGORITHMS
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申请号： US15802313申请日： 2017-11-02
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公开(公告)号： US20180330187A1公开(公告)日： 2018-11-15
- 发明人: Georgios Ouzounis , Kostas Stamatiou , Nikki Aldeborgh
- 申请人： DigitalGlobe, Inc.
- 主分类号： G06K9/62
- IPC分类号： G06K9/62 ; G06K9/00 ; G06T7/12
摘要：
A system and various methods for processing an image to produce a hierarchical image representation model, segment the image model using shape criteria to produce positive and negative training data sets as well as a search-space data set comprising shapes matched to a search query provided as input, and using the training data sets to train a machine learning model to improve recognition of shapes that are similar to an input query without being exact matches, to improve object recognition.
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