Patents by Inventor Ruiting Shao

Ruiting Shao 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).

  • Patent number: 11367222
    Abstract: A deep learning method employs a neural network having three sub-nets to classify and retrieve the most similar 3D model of an object, given a rough 3D model or scanned images. The most similar 3D model is present in a database and can be retrieved to use directly or as a reference to redesign the 3D model. The three sub-nets of the neural network include one dealing with object images and the other two dealing with voxel representations. Majority vote is used instead of view pooling to classify the object. A feature map and a list of top N most similar well-designed 3D models are also provided.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: June 21, 2022
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Ruiting Shao, Yang Lei, Jian Fan, Jerry Liu
  • Publication number: 20210104071
    Abstract: A deep learning method employs a neural network having three sub-nets to classify and retrieve the most similar 3D model of an object, given a rough 3D model or scanned images. The most similar 3D model is present in a database and can be retrieved to use directly or as a reference to redesign the 3D model. The three sub-nets of the neural network include one dealing with object images and the other two dealing with voxel representations. Majority vote is used instead of view pooling to classify the object. A feature map and a list of top N most similar well-designed 3D models are also provided.
    Type: Application
    Filed: April 20, 2018
    Publication date: April 8, 2021
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Ruiting Shao, Yang Lei, Jian Fan, Jerry Liu