Shopify Inc.

Hettige Ray Perera Jayatunga

Russ Maschmeyer

Neil Leonard Padgett

James Lepp

Michael Joseph Defazio

Jonathan Wade

Brennan Letkeman

Eric Andrew Florenzano

Andrew Ferrier

Daanish Maan

Diego Macario Bello

Asher Wright

Kai-yanna Meighu

Andrew Nhat-Nam Ngo

A computer-implemented method is disclosed. The method includes: determining a first position of a real display device in a real-world environment; receiving a request to display virtual information at a second relative position with respect to the first position in an AR version of the real-world environment; responsive to receiving the request: determining a displayable area associated with the second relative position; and causing the virtual information to be overlaid on the displayable area in the AR version of the real-world environment.

Methods for calibrating augmented reality scenes

A system and method are provided for pairing devices to establish device groups. The method includes receiving, at a server associated with a plurality of client devices and a plurality of accessory devices, a first request to establish a device group comprising a first client device of the plurality of client devices and a first accessory device of the plurality of accessory devices. The first request identifies the first client device and the first accessory device. The method also includes establishing the device group comprising the first client device and the first accessory device. The device group, once established, allows the first client device to utilize the first accessory device.

System and method for pairing devices to establish device groups

A system and method are provided for displaying objects in electronic user interfaces. The method includes receiving, via a user interface, a first input defining a manipulation to be applied to a three-dimensional (3D) object corresponding to a two-dimensional (2D) image displayed in the user interface. The method also includes determining an initial positioning of a corresponding 3D model to be applied when loading an updated 3D model to replace the 2D image. The method also includes manipulating, in the user interface, the corresponding 3D object according to the first input.

System and method for manipulation of 3D objects in electronic user interfaces

The present disclosure provides image generation systems and methods. The image generation method includes capturing a first 2D image corresponding to a first perspective of a 3D object, and associating the first 2D image with a set of 3D scanning data, the set of 3D scanning data comprising 3D data points corresponding to the first perspective of the 3D object. The method includes obtaining new 3D data points to include in the set of 3D scanning data from a subsequent perspective of the 3D object, the new 3D data points being non-overlapping with 3D data points already in the set of 3D scanning data. The method further includes, responsive to determining that a number of the new 3D data points exceeds a predetermined threshold, automatically capturing a subsequent 2D image corresponding to the subsequent perspective, and associating the subsequent 2D image with the new 3D data points.

Image generation based on tracked 3D scanning

An image processing method and system that generates output images. The system receives a first input image depicting a first set of products and determines the first set of products and corresponding first product categories. The system then receives, on a user interface of a requestor device, a second input image depicting other products selected as being of interest having corresponding second product categories for the other products. In response to a match between one of the first product categories and the second product categories: the system applies the first input image and the second input image to generative adversarial networks (GANs). Each GAN is trained using image dataset for corresponding ones of the first and second product categories, to generate an output image replacing at least a portion of first input image with the second input image, the replacement based on the match between the product categories.

Method and system for generating images using generative adversarial networks (GANs)

A system and method are provided for displaying objects in electronic user interfaces. The method includes receiving, via a user interface, a first input defining a rotation to be applied to each of a plurality of three-dimensional (3D) objects displayed in the user interface. The method also includes manipulating, in the user interface, each of the plurality of 3D objects in tandem according to the first input, the manipulating comprising rotating each of the plurality of 3D objects individually in tandem according to the rotation to be applied.

System and method for tandem manipulation of 3D objects in electronic user interfaces

Systems and methods for processing transactions are provided. An aspect of the transactions is executed with a third party transaction service provider that may indicate its aspect of the transaction was a failure when in fact it was successful. After conveying this failure to a user, the system subsequently learns that the aspect of the transaction was not a failure. The system attempts to associate such a transaction with another transaction based on a comparison between the transactions. Upon determining that there is an association between the second transaction and the first transaction, the system communicates to a user options for how to proceed with the first and second transactions. One of the options is to proceed with the original transaction. If the original transaction goes ahead, this saves system resources associated with cancelling the first transaction.

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Toronto, Canada

Hettige Ray Perera Jayatunga