Invention Grant
- Patent Title: Automatic learning method for the automatic learning of forms of appearance of objects in images
- Patent Title (中): 用于自动学习图像中物体外观形式的自动学习方法
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Application No.: US14344390Application Date: 2012-08-13
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Publication No.: US09361543B2Publication Date: 2016-06-07
- Inventor: Klaus Schertler , Jörg Liebelt
- Applicant: Klaus Schertler , Jörg Liebelt
- Applicant Address: DE Ottobrunn
- Assignee: Airbus Defence and Space GmbH
- Current Assignee: Airbus Defence and Space GmbH
- Current Assignee Address: DE Ottobrunn
- Agency: Hoffmann & Baron, LLP
- Priority: DE102011113154 20110914
- International Application: PCT/DE2012/100238 WO 20120813
- International Announcement: WO2013/037357 WO 20130321
- Main IPC: G06K9/62
- IPC: G06K9/62

Abstract:
An automatic learning method for the automatic learning of the forms of appearance of objects in images in the form of object features from training images for using the learned object features in an image processing system comprises determining a feature contribution by a training image to object features by weighted summation of training image features by means of linear filter operations, applied to the feature image, by using a weight image obtained at least from an annotation image and a classification image. This allows faster learning processes and also the learning of a greater variance of forms of appearance of objects and backgrounds, which increases the robustness of the system in its application to untrained images.
Public/Granted literature
- US20140328537A1 Automatic Learning Method for the Automatic Learning of Forms of Appearance of Objects in Images Public/Granted day:2014-11-06
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