Patents by Inventor Olha Rykhliuk

Olha Rykhliuk has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Skeletal tracking for real-time virtual effects
    Patent number: 11991469
    Abstract: Systems and methods are presented for capturing a video in real-time by an image capture device using a skeletal pose system. The skeletal pose system identifies first pose information in the video, applies a first virtual effect to the video in response to identifying the first pose information, identifies second pose information in the video, and applies a second virtual effect to the video in response to identifying the first pose information.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: May 21, 2024
    Assignee: Snap Inc.
    Inventors: Olha Rykhliuk, Jonathan Solichin, Olesia Voronova, Artem Yagodin
  • USER INTERFACE FOR POSE DRIVEN VIRTUAL EFFECTS
    Publication number: 20240098211
    Abstract: Systems and methods herein describe a method for capturing a video in real-time by an image capture device. The system provides a plurality of visual pose hints, identifies first pose information in the video while capturing the video, applies a first series of virtual effects to the video, identifies second pose information, and applies a second series of virtual effects to the video, the second series of virtual effects based on the first series of virtual effects.
    Type: Application
    Filed: November 27, 2023
    Publication date: March 21, 2024
    Inventors: Amir Alavi, Olha Rykhliuk, Xintong Shi, Jonathan Solichin, Olesia Voronova, Artem Yagodin
  • User interface for pose driven virtual effects
    Patent number: 11832015
    Abstract: Systems and methods herein describe a method for capturing a video in real-time by an image capture device. The system provides a plurality of visual pose hints, identifies first pose information in the video while capturing the video, applies a first series of virtual effects to the video, identifies second pose information, and applies a second series of virtual effects to the video, the second series of virtual effects based on the first series of virtual effects.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: November 28, 2023
    Assignee: Snap Inc.
    Inventors: Amir Alavi, Olha Rykhliuk, Xintong Shi, Jonathan Solichin, Olesia Voronova, Artem Yagodin
  • MACHINE LEARNING IN AUGMENTED REALITY CONTENT ITEMS
    Publication number: 20230120964
    Abstract: Systems and methods herein describe receiving an image via an image capture device, using a machine learning model, generating an image augmentation decision, accessing an augmented reality content item, associating the generated image augmentation decision with the augmented reality content item, modifying the received image using the augmented reality content item and the associated image augmentation decision, and causing presentation of the modified image on a graphical user interface of a computing device.
    Type: Application
    Filed: October 26, 2022
    Publication date: April 20, 2023
    Inventors: Olha Rykhliuk, Jonathan ` Solichin, Aleksei Stoliar
  • Machine learning in augmented reality content items
    Patent number: 11521339
    Abstract: Systems and methods herein describe receiving an image via an image capture device, using a machine learning model, generating an image augmentation decision, accessing an augmented reality content item, associating the generated image augmentation decision with the augmented reality content item, modifying the received image using the augmented reality content item and the associated image augmentation decision, and causing presentation of the modified image on a graphical user interface of a computing device.
    Type: Grant
    Filed: June 19, 2020
    Date of Patent: December 6, 2022
    Assignee: Snap Inc.
    Inventors: Olha Rykhliuk, Jonathan Solichin, Aleksei Stoliar
  • USER INTERFACE FOR POSE DRIVEN VIRTUAL EFFECTS
    Publication number: 20220053146
    Abstract: Systems and methods herein describe a method for capturing a video in real-time by an image capture device. The system provides a plurality of visual pose hints, identifies first pose information in the video while capturing the video, applies a first series of virtual effects to the video, identifies second pose information, and applies a second series of virtual effects to the video, the second series of virtual effects based on the first series of virtual effects.
    Type: Application
    Filed: August 13, 2021
    Publication date: February 17, 2022
    Inventors: Amir Alavi, Olha Rykhliuk, Xington Shi, Jonathan Solichin, Olesia Voronova, Artem Yagodin
  • SKELETAL TRACKING FOR REAL-TIME VIRTUAL EFFECTS
    Publication number: 20210409615
    Abstract: Systems and methods are presented for capturing a video in real-time by an image capture device using a skeletal pose system. The skeletal pose system identifies first pose information in the video, applies a first virtual effect to the video in response to identifying the first pose information, identifies second pose information in the video, and applies a second virtual effect to the video in response to identifying the first pose information.
    Type: Application
    Filed: June 30, 2021
    Publication date: December 30, 2021
    Inventors: Olha Rykhliuk, Jonathan Solichin, Olesia Voronova, Artem Yagodin
  • MACHINE LEARNING IN AUGMENTED REALITY CONTENT ITEMS
    Publication number: 20210390745
    Abstract: Systems and methods herein describe receiving an image via an image capture device, using a machine learning model, generating an image augmentation decision, accessing an augmentation reality content item, associating the generated image augmentation decision with the augmentation reality content item, modifying the received image using the augmentation reality content item and the associated image augmentation decision, and causing presentation of the modified image on a graphical user interface of a computing device.
    Type: Application
    Filed: June 19, 2020
    Publication date: December 16, 2021
    Inventors: Olha Rykhliuk, Jonathan Solichin, Aleksei Stoliar