公开(公告)号：US11452577B2

公开(公告)日：2022-09-27

申请号：US17069715

申请日：2020-10-13

Applicant: Align Technology, Inc.

Inventor： Christopher E. Cramer ,  Chad Clayton Brown

IPC: G06T7/90 ,  A61C7/00 ,  A61C9/00 ,  A61C5/77 ,  G06T7/80

Abstract: A method includes determining, from a first image of a mouth, a first region of the first image comprising a representation of teeth; generating one or more parametric functions associated with tooth color based on color data from the first region; receiving image data comprising new contours of the mouth, wherein one or more of the teeth have a different position in the image data than in the first image; determining a second region comprising the teeth in the image data; and generating a new image based on the image data and the one or more parametric functions, wherein a shape of the teeth is based on the image data and a color of the teeth is based on applying the one or more parametric functions to the second region of the image data.

公开(公告)号：US11238586B2

公开(公告)日：2022-02-01

申请号：US16865162

申请日：2020-05-01

Applicant: Align Technology, Inc.

Inventor： Mikhail Minchenkov ,  Ran Katz ,  Pavel Agniashvili ,  Chad Clayton Brown ,  Jonathan Coslovsky

IPC: G06T15/00 ,  G06T7/00 ,  A61C13/34 ,  A61C9/00 ,  G06N3/08 ,  G06N3/04 ,  G06T17/00 ,  G06K9/62 ,  G06T19/20

Abstract: A method includes processing an input comprising data from an intraoral image using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model outputs a probability map comprising, for each pixel in the intraoral image, a first probability that the pixel belongs to a first dental class and a second probability that the pixel belongs to a second dental class, wherein the first dental class represents excess material, the excess material comprising material other than teeth or gums. The method further includes determining, based on the probability map, one or more pixels in the intraoral image that are classified as excess material. The method further includes hiding or removing from the intraoral image data for the one or more pixels that are classified as excess material.

公开(公告)号：US11026766B2

公开(公告)日：2021-06-08

申请号：US16417354

申请日：2019-05-20

Applicant: Align Technology, Inc.

Inventor： Dmitry Yurievich Chekh ,  Samuel Blanco ,  Vladislav Andreevich Miryaha ,  Boris Aleksandrovich Vysokanov ,  Chad Clayton Brown ,  Christopher E. Cramer

IPC: G06T7/00 ,  A61C9/00 ,  A61C7/00 ,  G06T19/20 ,  G06T5/00 ,  H04N1/64 ,  G06T15/83 ,  G06T19/00 ,  H04N1/387

Abstract: A method may include: receiving facial image of the patient that depicts the patient's teeth; receiving a 3D model of the patient's teeth; determining color palette of the depiction of the patient's teeth; coding 3D model of the patient's teeth based on attributes of the 3D model; providing the 3D model, the color palette, and the coded 3D model to a neural network; processing the 3D model, the color palette, and the coded 3D model by the neural network to generate a processed image of the patient's teeth; simulating specular highlights on the processed image of the patient's teeth; and inserting the processed image of the patient's teeth into a mouth opening of the facial image.

公开(公告)号：US20200022783A1

公开(公告)日：2020-01-23

申请号：US16041613

申请日：2018-07-20

Applicant: Align Technology, Inc.

Inventor： Christopher E. Cramer ,  Chad Clayton Brown

IPC: A61C7/00 ,  A61C9/00 ,  G06T7/90

Abstract: A method includes determining, from a first image, a first region comprising teeth, wherein the first region comprises a first set of pixel locations. A first parametric function is generated based on intensities at the first set of pixel locations. Image data comprising new contours of the mouth is received, wherein one or more of the teeth have a different position in the image data than in the first image. A second region comprising the teeth is determined from the image data, wherein the second region comprises a second set of pixel locations for the teeth. A new image is then generated based on the image data and the first parametric 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 parametric function to the second set of pixel locations for the teeth.