SYSTEM AND METHOD FOR PROVIDING VIRTUAL THREE-DIMENSIONAL MODEL

    公开(公告)号:US20240221313A1

    公开(公告)日:2024-07-04

    申请号:US17922054

    申请日:2022-07-20

    Applicant: 3I INC.

    Abstract: A system for providing a virtual three-dimensional (3D) model according to a technical aspect of the present application includes a user terminal and a server. The user terminal derives relative movement information from a previous capturing point to each of a plurality of capturing points in a real indoor environment to generate location information about the corresponding capturing point and generates a 360-degree color image and a 360-degree depth map image on the basis of the corresponding capturing point to generate a capture dataset of the corresponding capturing point. The server receives a plurality of capture datasets each corresponding to the plurality of capturing points in the real indoor environment from the user terminal, relates a 360-degree color image to a 360-degree depth map image generated at each of the plurality of capturing points in accordance with locations of unit pixels, and sets a distance value and a color value per unit pixel to generate point groups. The point groups are individually generated at the capturing points, and the server forms one integration point group by locationally relating the plurality of point groups individually generated at the plurality of capturing points to each other on the basis of the location information and generates a virtual 3D model on the basis of the integration point group.

    TEXTURING METHOD OF GENERATING 3D VIRTUAL MODEL AND COMPUTING DEVICE THEREFOR

    公开(公告)号:US20230169716A1

    公开(公告)日:2023-06-01

    申请号:US17878390

    申请日:2022-08-01

    Applicant: 3I INC.

    CPC classification number: G06T15/04 G06T17/20 G06T2200/08

    Abstract: A texturing method of generating a three-dimensional (3D) virtual model is provided. The method is performed in a computing device, and includes acquiring an original learning image and a hole generation learning image for the original learning image, the hole generation learning image being an image in which at least one hole is generated based on the original learning image, generating a hole filling learning image by performing hole filling on the hole generation learning image using a neural network, performing spherical transformation on each of the hole filling learning image and the original learning image, and training the neural network based on a difference between the spherically transformed hole filling learning image and the spherically transformed original learning image.

    DEPTH MAP IMAGE GENERATION METHOD AND COMPUTING DEVICE THEREFOR

    公开(公告)号:US20220414909A1

    公开(公告)日:2022-12-29

    申请号:US17878206

    申请日:2022-08-01

    Applicant: 3I INC.

    Abstract: A computing device is provided. The computing device includes a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, in which the processor may execute the one or more instructions to generate a first predicted depth map image for a learning red/green/blue (RGB) image using a neural network, and train the neural network based on a difference between a learning depth map image having depth information and the first predicted depth map image. The learning depth map image may match 1:1 and may be generated based on the same setting change for a basic spherical image.

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