FLAW DETECTION AND CORRECTION IN DIGITAL IMAGES

    公开(公告)号:US20180173938A1

    公开(公告)日:2018-06-21

    申请号:US15577057

    申请日:2015-06-26

    Inventor: SIRUI YANG

    Abstract: At times, subjects having one or more flawed features, such as eyes closed or a frown, may appear in images acquired using an image acquisition device. An image editing circuit removes such flawed features by identifying the flawed features in the first image and uniquely identifying the subject having the flowed features. The image editing circuit autonomously identifies historical images in which the subject appears and in which the subject has an unflawed feature corresponding to the flawed feature in the first image. The image editing circuit autonomously extracts the unflawed feature from the historical image and replaces the flawed feature in the first image with the unflawed feature.

    FACE DETECTION WINDOW REFINEMENT USING DEPTH

    公开(公告)号:US20180247110A1

    公开(公告)日:2018-08-30

    申请号:US15755467

    申请日:2015-09-25

    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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