SmileDirectClub has filed a patent for a system that uses image data from a user’s mobile device to generate a 3D model of an object, assigning labels based on features identified in the image data. The system includes hardware processors and memory for executing these operations. GlobalData’s report on SmileDirectClub gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on SmileDirectClub, Digital intra-oral scanning was a key innovation area identified from patents. SmileDirectClub's grant share as of January 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Generating 3d models of objects from image data
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A recently filed patent (Publication Number: US20240037847A1) describes a system that involves one or more hardware processors and memory storing instructions to perform various operations. These operations include accessing image data depicting an object, identifying features, assigning labels to regions based on these features, and generating a three-dimensional (3D) model of the object. The image data is generated via a camera on a mobile device, with the object being a portion of the user. The labels assigned to regions correspond to semantic labels or classifications, and the 3D model is created based on these labels.
Furthermore, the patent details methods for generating the 3D model based on 2D-2D or 2D-3D correspondences of the image data, using different models such as polygon mesh, triangle mesh, NURBS surface, or CAD models for reconstruction. The system can filter multiple objects of the user's head or face based on size values and present the filtered 3D model on the user's mobile device. The 3D model includes both labeled and unlabeled regions, with the labeled regions differentiated by color or pattern. The patent also covers a method and a non-transitory computer-readable storage medium storing instructions for executing the described operations, emphasizing the generation of accurate 3D models based on image data captured by a mobile device camera, particularly focusing on user-specific objects like the head or face.
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