Align Technology, Inc.

Sergei Ozerov

Yossef Atiya

Ofer Saphier

Tal Verker

Nir Makmel

Tal Levy

Eliran Dafna

Gal Peleg

Yingjie Li

Phillip Thomas Harris

Anton Lapshin

Pavel Pokotilov

Yury Slynko

Leonid Vyacheslavovich Grechishnikov

Evgeniy Malashkin

Arkady Rudnitsky

Maurice K Carrier

Andrey Sergeevich Nekrasov

Anna Orlova

An intraoral scanning system comprises an elongate handheld wand with a probe at a distal end, a structured light projector configured to project a uniform structured light pattern onto an object, a plurality of cameras configured to capture points of the uniform structured light pattern projected onto the object by the structured light projector, and one or more processors. The one or more processors are configured to determine a correspondence between projected points in the uniform structured light pattern generated by the structured light projector and captured points of the uniform structured light pattern captured by the plurality of cameras viewing the uniform structured light pattern projected onto the object, and to use triangulation and the determined correspondence to determine three-dimensional points in space associated with the captured points of the uniform structured light pattern captured by the plurality of cameras.

Intraoral 3D scanning system using uniform structured light projection

An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

Automatic calibration of intraoral 3D scanner

A mobile device comprises a display, an image capture device that generates image data of a face of a viewer of the display, and a processing device. The processing device receives the image data and sends the image data to a computing device. The computing device processes the image data to identify a position of a dental arch in the image data; determines a treatment outcome for the dental arch; generates a post-treatment image of the dental arch that shows the treatment outcome; generates updated image data comprising a superimposition of the post-treatment image of the dental arch over the received image data; and sends the updated image data to the mobile device. The mobile device outputs the updated image data to the display, wherein the post-treatment image of the dental arch is superimposed over the dental arch in the received image data such that the post-treatment image is visible in the display rather than a true depiction of the dental arch.

System for viewing of dental treatment outcomes

An intraoral scanning system comprises and intraoral scanner and a processor. The intraoral scanner comprises one or more cameras and one or more structured light projectors, the intraoral scanner to generate a series of images using the one or more cameras, each image including at least a portion of a pattern projected by the one or more structured light projectors onto an intraoral three-dimensional surface. The processor runs a correspondence algorithm to compute respective three-dimensional positions of a plurality of features of the pattern on the intraoral three-dimensional surface, as captured in the series of images. The processor identifies the computed three-dimensional position of a detected feature of the pattern as corresponding to a particular projector ray r, in at least a subset of the series of images. The processor tracks the particular projector ray r across one or more additional images of the series of images.

Ray tracking for intraoral 3D scanner

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Yerevan, Armenia

Sergei Ozerov