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公开(公告)号：US20190147613A1
公开(公告)日：2019-05-16
申请号：US16098649
申请日：2016-06-02
Applicant: INTEL CORPORATION
Inventor： HAIBING REN , YIMIN ZHANG , XIAOBO HU , FEI DUAN
Abstract: Techniques are provided for estimation of human orientation and facial pose, in images that include depth information. A methodology embodying the techniques includes detecting a human in an image generated by a depth camera and estimating an orientation category associated with the detected human. The estimation is based on application of a random forest classifier, with leaf node template matching, to the image. The orientation category defines a range of angular offsets relative to an angle corresponding to the human facing the depth camera. The method also includes performing a three dimensional (3D) facial pose estimation of the detected human, based on detected facial landmarks, in response to a determination that the estimated orientation category includes the angle corresponding to the human facing the depth camera.
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公开(公告)号：US20180247110A1
公开(公告)日：2018-08-30
申请号：US15755467
申请日：2015-09-25
Applicant: INTEL CORPORATION
Inventor： HAIBING REN , YIMIN ZHANG , SIRUI YANG , WEI HU
CPC classification number: G06K9/00255 , G06K9/00201 , G06K9/00228 , G06K9/6292 , G06K2209/21 , G06T7/11 , G06T7/194 , G06T2207/30196
Abstract: The present disclosure is directed to face detection window refinement using depth. Existing face detection systems may perform face detection by analyzing portions of visual data such as an image, video, etc. identified by sub-windows. These sub-windows are now determined only based on pixels, and thus may number in the millions. Consistent with the present disclosure, at least depth data may be utilized to refine the size and appropriateness of sub-windows that identify portions of the visual data to analyze during face detection, which may substantially reduce the number of sub-windows to be analyzed, the total data processing burden, etc. For example, at least one device may comprise user interface circuitry including capture circuitry to capture both visual data and depth data. Face detection circuitry in the at least one device may refine face detection by determining criteria for configuring the sub-windows that will be used in face detection.
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公开(公告)号：US20190156499A1
公开(公告)日：2019-05-23
申请号：US16094997
申请日：2016-05-19
Applicant: INTEL CORPORATION
Inventor： HAIBING REN , YIMIN ZHANG , FEI DUAN
CPC classification number: G06T7/50 , G06K9/00201 , G06K9/00362 , G06K9/6215 , G06K9/6256 , G06K9/6279 , G06T7/10
Abstract: Techniques are provided for detection of humans in images that include depth information. A methodology embodying the techniques includes segmenting an image into multiple windows and estimating the distance to a subject in each window based on depth pixel values in that window, and filtering to reject windows with sizes that are outside of a desired window size range. The desired window size range is based on the estimated subject distance and the focal length of the depth camera that produced the image. The method further includes generating classifier features for each remaining windows (post-filtering) for use by a cascade classifier. The cascade classifier creates candidate windows for further consideration based on a preliminary detection of a human in any of the remaining windows. The method further includes merging neighboring candidate windows and executing a linear classifier on the merged candidate windows to verify the detection of a human.
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