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公开(公告)号:US20190180443A1
公开(公告)日:2019-06-13
申请号:US16182452
申请日:2018-11-06
Applicant: Align Technology, Inc.
Inventor: Ya Xue , Yingjie Li , Chao Shi , Aleksandr Anikin , Mikhail Toporkov , Aleksandr Sergeevich Karsakov
Abstract: A machine learning model is trained to define bounding shapes around teeth in images. The machine learning model is trained by receiving a training dataset comprising a plurality of images, each image of the plurality of images comprising a face and a provided bounding shape around teeth in the image. The training dataset is input into an untrained machine learning model. The untrained machine learning model is trained based on the training dataset to generate a trained machine learning model that defines bounding shapes around teeth in images, wherein for an input image the trained machine learning model is to output a mask that defines a bounding shape around teeth of the input image, wherein the mask indicates, for each pixel of the input image, whether that pixel is inside of a defined bounding shape or is outside of the defined bounding shape.
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公开(公告)号:US12144701B2
公开(公告)日:2024-11-19
申请号:US18446445
申请日:2023-08-08
Applicant: Align Technology, Inc.
Inventor: Chao Shi , Yingjie Li , Vladislav Andreevich Miryaha , Boris Aleksandrovich Vysokanov , Andrey Bushev
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.
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公开(公告)号:US20240087097A1
公开(公告)日:2024-03-14
申请号:US18371347
申请日:2023-09-21
Applicant: Align Technology, Inc.
Inventor: Chao Shi , Yingjie Li , Chad Clayton Brown , Christopher E. Cramer
CPC classification number: G06T5/003 , G06N20/00 , G06T11/20 , G06V10/993 , G06V40/165 , G06V40/166 , G06T2210/12
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.
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公开(公告)号:US20240005567A1
公开(公告)日:2024-01-04
申请号:US18213789
申请日:2023-06-23
Applicant: Align Technology, Inc.
Inventor: Yun Gao , Yingjie Li , Chao Shi
IPC: G06T11/00 , G06T7/70 , G06T17/00 , G06T19/20 , G06T5/50 , G06T5/00 , A61C13/34 , A61C9/00 , A61B34/10 , G06T7/50
CPC classification number: G06T11/001 , A61C2201/002 , G06T17/00 , G06T19/20 , G06T5/50 , G06T5/005 , G06T5/002 , A61C13/34 , A61C9/0053 , A61B34/10 , G06T7/50 , A61B2034/105 , G06T2207/30036 , G06T2219/2016 , G06T2207/20084 , G06T7/70
Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. One or more function is generated for one or more color channels based on intensities of the one or more color channels at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the one or more functions.
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公开(公告)号:US20230410495A1
公开(公告)日:2023-12-21
申请号:US18241709
申请日:2023-09-01
Applicant: Align Technology, Inc.
Inventor: Ya Xue , Yingjie Li , Chao Shi , Aleksandr Anikin , Mikhail Toporkov , Aleksandr Sergeevich Karsakov
CPC classification number: G06V10/82 , G06V10/44 , G06F18/24143 , G06V30/19173 , G06T7/13 , G06T7/0012 , G06V2201/033 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30004
Abstract: A method includes receiving an image of a face, processing the image using a first trained machine learning model to determine a bounding shape around teeth in the image, cropping the image based on the bounding shape to produce a cropped image, processing the cropped image using an edge detection operation to generate edge data for the cropped image, and processing the cropped image and the edge data using a second trained machine learning model to label edges in the cropped image.
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公开(公告)号:US11759291B2
公开(公告)日:2023-09-19
申请号:US17334599
申请日:2021-05-28
Applicant: Align Technology, Inc.
Inventor: Chao Shi , Yingjie Li , Vladislav Andreevich Miryaha , Boris Aleksandrovich Vysokanov , Andrey Bushev
CPC classification number: A61C7/002 , A61C9/0046 , A61C13/0004 , A61C2007/004
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.
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公开(公告)号:US20230263595A1
公开(公告)日:2023-08-24
申请号:US18304735
申请日:2023-04-21
Applicant: Align Technology, Inc.
Inventor: Yingjie Li , Chao Shi , Zelko Relic , Michael Alan Stocks , Andrey Bushev , Ya Xue , Eric P. Meyer
CPC classification number: A61C7/002 , G16H50/50 , A61C9/0053 , B33Y50/00
Abstract: Methods for visualizing treatment outcomes are provided. In some embodiments, a method includes obtaining a first 2D image of a patient's teeth from a mobile device, and obtaining an arch model representing an outcome for the patient's teeth after orthodontic treatment. The method can include matching the patient's teeth in the first 2D image to corresponding teeth in the arch model, using a parametric model. The method can also include determining a target position for the patient's teeth, based on a position of the matched corresponding teeth in the arch model. The method can further include generating a second 2D image depicting the patient's teeth in the target position.
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公开(公告)号:US20220036604A1
公开(公告)日:2022-02-03
申请号:US17503175
申请日:2021-10-15
Applicant: Align Technology, Inc.
Inventor: Yun Gao , Yingjie Li , Chao Shi
IPC: G06T11/00 , G06T7/70 , G06T17/00 , G06T19/20 , G06T5/50 , G06T5/00 , A61C13/34 , A61C9/00 , A61B34/10 , G06T7/50
Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. One or more function is generated for one or more color channels based on intensities of the one or more color channels at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the one or more functions.
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公开(公告)号:US11151753B2
公开(公告)日:2021-10-19
申请号:US16579673
申请日:2019-09-23
Applicant: Align Technology, Inc.
Inventor: Yun Gao , Yingjie Li , Chao Shi
IPC: G06T11/00 , G06T7/70 , G06T17/00 , G06T19/20 , G06T5/50 , G06T5/00 , A61C13/34 , A61C9/00 , A61B34/10 , G06T7/50
Abstract: A method includes determining depth values associated with a first set of pixel locations in a first image of a mouth. A first function is generated for a color channel based on intensities of the color channel at the first set of pixel locations and depth values associated with the first set of pixel locations. Image data comprising a new representation of the teeth is received, wherein the image data comprises a second set of pixel locations and new depth values associated with the second set of pixel locations. A new image is generated based on the image data and the first function, wherein a shape of the teeth is based on the image data and a color of the teeth is based on applying the first function to the second set of pixel locations for the teeth and the new depth values.
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