Invention Grant
- Patent Title: Generation of visual pattern classes for visual pattern recognition
- Patent Title (中): 生成视觉模式识别的视觉模式类
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Application No.: US14107191Application Date: 2013-12-16
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Publication No.: US09524449B2Publication Date: 2016-12-20
- Inventor: Jianchao Yang , Guang Chen , Hailin Jin , Jonathan Brandt , Elya Shechtman , Aseem Omprakash Agarwala
- Applicant: Adobe Systems Incorporated
- Applicant Address: US CA San Jose
- Assignee: ADOBE SYSTEMS INCORPORATED
- Current Assignee: ADOBE SYSTEMS INCORPORATED
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon, L.L.P.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/68

Abstract:
Example systems and methods for classifying visual patterns into a plurality of classes are presented. Using reference visual patterns of known classification, at least one image or visual pattern classifier is generated, which is then employed to classify a plurality of candidate visual patterns of unknown classification. The classification scheme employed may be hierarchical or nonhierarchical. The types of visual patterns may be fonts, human faces, or any other type of visual patterns or images subject to classification.
Public/Granted literature
- US20150170000A1 GENERATION OF VISUAL PATTERN CLASSES FOR VISUAL PATTERN RECOGNITION Public/Granted day:2015-06-18
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