Smile detection techniques

US9268995B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9268995-B2
Application numberUS-201113991909-A
CountryUS
Kind codeB2
Filing dateApr 11, 2011
Priority dateApr 11, 2011
Publication dateFeb 23, 2016
Grant dateFeb 23, 2016

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Abstract

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Techniques are disclosed that involve the detection of smiles from images. Such techniques may employ local-binary pattern (LBP) features and/or multi-layer perceptrons (MLP) based classifiers. Such techniques can be extensively used on various devices, including (but not limited to) camera phones, digital cameras, gaming devices, personal computing platforms, and other embedded camera devices.

First claim

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The invention claimed is: 1. A method, comprising: detecting a face in an image; determining one or more local binary pattern (LBP) features from the detected face for each of a plurality of local regions by selecting the one or more LBP features from a plurality of LBP features, wherein said selection is based on a boosting training procedure; generating a smile detection indicator from the one or more LBP features for each local region with a multi-layer perceptrons (MLP) b…

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What does patent US9268995B2 cover?
Techniques are disclosed that involve the detection of smiles from images. Such techniques may employ local-binary pattern (LBP) features and/or multi-layer perceptrons (MLP) based classifiers. Such techniques can be extensively used on various devices, including (but not limited to) camera phones, digital cameras, gaming devices, personal computing platforms, and other embedded camera devices.
Who is the assignee on this patent?
Li Jianguo, Intel Corp
What technology area does this patent fall under?
Primary CPC classification G06K9/00308. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 23 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).