Patents by Inventor Yunwen Zhou

Yunwen Zhou 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).

  • Publication number: 20240029384
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.
    Type: Application
    Filed: October 4, 2023
    Publication date: January 25, 2024
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
  • Patent number: 11816810
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.
    Type: Grant
    Filed: May 31, 2022
    Date of Patent: November 14, 2023
    Assignee: HOVER INC.
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
  • Publication number: 20230316690
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining world map data including a first track of real-world poses for a plurality of images. The plurality of images comprises non-camera anchors. The method also includes detecting a discrepancy in at least one real-world pose of the first track. The method also includes in response to detecting a discrepancy, generating a new track of real-world poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on sampling across a plurality of tracks. The plurality of tracks comprises at least the first track and the new track.
    Type: Application
    Filed: June 8, 2023
    Publication date: October 5, 2023
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas, Giridhar MURALI, Atulya SHREE
  • Publication number: 20230236219
    Abstract: Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.
    Type: Application
    Filed: January 21, 2022
    Publication date: July 27, 2023
    Inventors: Yunwen Zhou, Ryan Christopher DuToit, Abhishek Kar, Konstantine Nicholas John Tsotsos, Eric Turner, Chao Guo
  • Publication number: 20220327792
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.
    Type: Application
    Filed: May 31, 2022
    Publication date: October 13, 2022
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
  • Patent number: 11380078
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: July 5, 2022
    Assignee: HOVER, INC.
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas
  • Publication number: 20210183161
    Abstract: System and method are provided for scaling a 3-D representation of a building structure. The method includes obtaining images of the building structure, including non-camera anchors. The method also includes identifying reference poses for images based on the non-camera anchors. The method also includes obtaining world map data including real-world poses for the images. The method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. The method also includes calculating a scaling factor for a 3-D representation of the building structure based on correlating the reference poses with the selected candidate poses. Some implementations use structure from motion techniques or LiDAR, in addition to augmented reality frameworks, for scaling the 3-D representations of the building structure. In some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-D representation.
    Type: Application
    Filed: December 10, 2020
    Publication date: June 17, 2021
    Inventors: Manish Upendran, William Castillo, Jena Dzitsiuk, Yunwen Zhou, Matthew Thomas