Patents by Inventor Narayanan P J

Narayanan P J 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).

  • System and method for automatically reconstructing 3D model of an object using machine learning model
    Patent number: 12100104
    Abstract: A system and method of automatically reconstructing a three-dimensional (3D) model of an object using a machine learning model is provided. The method includes (i) obtaining, using an image capturing device, a color image of an object, (ii) generating, using an encoder, a feature map by converting the color image that is represented in the 3D array to n-dimensional array, (iii) generating, using the machine learning model, a set of peeled depth maps and a set of RGB maps from the feature map, (iv) determining one or more 3D surface points of the object by back projecting the set of peeled depth maps and the set of RGB maps to 3D space, (v) reconstructing, using the machine learning model, a 3D model of the object by performing surface reconstruction using the one or more 3D surface points of the object.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: September 24, 2024
    Assignee: INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY, HYDERABAD
    Inventors: Avinash Sharma, Narayanan P J, Sagar Sai Jinka, Teja Sai Dhondu, Rohan Chacko
  • SYSTEM AND METHOD FOR AUTOMATICALLY RECONSTRUCTING 3D MODEL OF AN OBJECT USING MACHINE LEARNING MODEL
    Publication number: 20220157016
    Abstract: A system and method of automatically reconstructing a three-dimensional (3D) model of an object using a machine learning model is provided. The method includes (i) obtaining, using an image capturing device, a color image of an object, (ii) generating, using an encoder, a feature map by converting the color image that is represented in the 3D array to n-dimensional array, (iii) generating, using the machine learning model, a set of peeled depth maps and a set of RGB maps from the feature map, (iv) determining one or more 3D surface points of the object by back projecting the set of peeled depth maps and the set of RGB maps to 3D space, (v) reconstructing, using the machine learning model, a 3D model of the object by performing surface reconstruction using the one or more 3D surface points of the object.
    Type: Application
    Filed: November 17, 2021
    Publication date: May 19, 2022
    Inventors: Avinash Sharma, Narayanan P J, Sagar Sai Jinka, Teja Sai Dhondu, Rohan Chacko