Automatic correction of facial sentiment of portra
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专利名称：Automatic correction of facial sentiment of
portrait images
发明人：Srinivasa Madhava Phaneendra Angara,Lance
Lewis,Anmol Dhawan
申请号：US15236700
申请日：20160815
公开号：US10198791B2
公开日：
20190205
专利内容由知识产权出版社提供
专利附图：
摘要：Techniques are disclosed for correcting facial sentiment of digital images. Facial data captured in a target image is analyzed to obtain facial-based sentiment. A favored
sentiment is determined based at least in part on the facial-based sentiment. The favored sentiment is then applied to at least one face included in the target image that doesn't reflect the favored sentiment. Analyzing facial data may include detecting facial landmarks that are good indicators of sentiment (e.g., eyes, mouth, eyebrows, jawline, and nose). Such landmarks can be processed, with supervised machine learning, to detect the corresponding facial sentiment. A favored sentiment of the target image is thus identified, and can be applied to one or more non-compliant faces in the target image. In some embodiments, the favored sentiment can be further based on a plurality of additional sentiment indicators, including geo data, text, and/or other images associated with the target image.
申请人：Adobe Inc.
地址：San Jose CA US
国籍：US
代理机构：Finch & Maloney PLLC
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