USING PREDICTION INFORMATION WITH LIGHT FIELDS

    公开(公告)号:US20210064124A1

    公开(公告)日:2021-03-04

    申请号:US16557329

    申请日:2019-08-30

    Applicant: Shopify Inc.

    Inventor: Jonathan Wade

    Abstract: A computer-implemented method and system may include receiving, by a computing device associated with an image processor, a sensor data associated with a user device; generating, by the computing device, light field data based on a predicted behavior determined at least in part by the received sensor data; and communicating, by the computing device, the light field data to the user device.

    Systems and methods for generating three-dimensional models corresponding to product bundles

    公开(公告)号:US12288249B2

    公开(公告)日:2025-04-29

    申请号:US17334930

    申请日:2021-05-31

    Applicant: SHOPIFY INC.

    Abstract: Generating and storing product media can be resource intensive processes. Some systems and methods disclosed herein relate to rapidly and/or automatically generating a three-dimensional (3D) composite model to help improve the generation of product media and/or to help reduce product media storage requirements. The 3D composite model may correspond to a product bundle. According to an embodiment, an indication of items associated with a product bundle is obtained. Pre-existing 3D models corresponding to the items are then obtained and used to generate a 3D composite model. The 3D composite model includes representations of the items and may be implemented to provide product media depicting the product bundle.

    Augmented reality enabled dynamic product presentation

    公开(公告)号:US11935202B2

    公开(公告)日:2024-03-19

    申请号:US17824828

    申请日:2022-05-25

    Applicant: Shopify Inc.

    CPC classification number: G06T19/006 G06F3/167 G06Q30/0643

    Abstract: Systems and methods described herein allow a customer to employ AR/VR software to generate virtual representations of physical spaces (e.g., house) and sub-spaces (e.g., living room) to preview virtual objects situated in AR/VR virtual environments. A commerce system (or mobile app associated with the commerce system) may generate virtualized environments representing a physical space (e.g., house, apartment) and regions (e.g., living room, kitchen) based on source images uploaded to or otherwise captured by the commerce system. The end-user may operate the software on a client device and interacts with VR or AR presentations of the virtual environment using a voice-based interface recognized by the software. For example, the end-user may say the name of room (region) or an object and the system retrieves data of the identified room or an appropriate room, such as virtual representations of furniture or objects situated in the room.

    Virtual object areas using light fields

    公开(公告)号:US11430175B2

    公开(公告)日:2022-08-30

    申请号:US16557300

    申请日:2019-08-30

    Applicant: Shopify Inc.

    Inventor: Jonathan Wade

    Abstract: A computer-implemented method and system may include receiving, from a computing device, a light field data generated by the computing device, the light field data representing a portion of a viewed scene by the user device, wherein the light field data comprises a three-dimensional volume describing the light flowing in a plurality of directions through a plurality of light field data points.

    Systems and methods for providing product image recommendations

    公开(公告)号:US11386473B2

    公开(公告)日:2022-07-12

    申请号:US16662211

    申请日:2019-10-24

    Applicant: SHOPIFY INC.

    Abstract: For products that are sold online, the manner in which a product is displayed in an image can affect sales of the product. Embodiments of the present disclosure relate to computer-implemented systems and methods to provide a user with recommendations when generating an image of a product. A method includes obtaining a product image and determining parameters of the product image. A recommendation for modifying the product image is then generated using a model to relate these parameters to market success of the product image. The recommendation is displayed on the user device, and a user can potentially improve subsequent product images by following the recommendation.

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