DOMAIN SPECIFIC IMAGE QUALITY ASSESSMENT

    公开(公告)号:US20210174477A1

    公开(公告)日:2021-06-10

    申请号:US17111264

    申请日:2020-12-03

    Abstract: In a technique to assess the blurriness of an image, an image of a face is received, the image including a depiction of lips. A processing device determines a region of interest in the image, wherein the region of interest comprises an area inside of the lips. The processing device applies a focus operator to the pixels within the region of interest, and calculates a sharpness metric for the region of interest using an output of the focus operator. The processing device determines whether the sharpness metric satisfies a sharpness criterion, and one or more additional operations are performed responsive to determining that the sharpness metric satisfies the sharpness criterion.

    Tooth segmentation based on anatomical edge information

    公开(公告)号:US11020206B2

    公开(公告)日:2021-06-01

    申请号:US16418879

    申请日:2019-05-21

    Abstract: Provided herein are orthodontic systems and methods for automatically segmenting a person's teeth. Systems, methods and processes are provided to properly segment the teeth of a person's teeth from an image of the person's face showing at least some of the person's teeth (e.g., dental arch). Methods and systems are provided to automatically detect dental edges after a dental scan. Also described herein are methods and systems for generating a simulated image of the person's face from the final segmentation of the person's teeth in which the segmented teeth have been moved from their original position, including a new position based on an orthodontic treatment plan.

    SMILE SIMULATION WITH ACCURATE COLOR

    公开(公告)号:US20250157096A1

    公开(公告)日:2025-05-15

    申请号:US19021128

    申请日:2025-01-14

    Abstract: A method includes generating a blurred color representation of an estimated post-treatment arrangement of teeth of an individual to be used for generation of a simulated color image of a post-treatment smile of the individual based on first depth information of a color image of a pre-treatment smile, color information of the color image of the pre-treatment smile, and a simulated colorless image of the estimated post-treatment arrangement of the teeth that comprises second depth information. The method further includes generating the simulated color image of the post-treatment smile of the individual based on the blurred color representation of the estimated post-treatment arrangement of the teeth and the simulated colorless image of the estimated post-treatment arrangement of the teeth.

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