18484783. GENERATING REPRESENTATION OF USER BASED ON DEPTH MAP simplified abstract (Google LLC)

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GENERATING REPRESENTATION OF USER BASED ON DEPTH MAP

Organization Name

Google LLC

Inventor(s)

Ruofei Du of San Francisco CA (US)

Xun Qian of Mountain View CA (US)

Yinda Zhang of Palo Alto CA (US)

Alex Olwal of Santa Cruz CA (US)

GENERATING REPRESENTATION OF USER BASED ON DEPTH MAP - A simplified explanation of the abstract

This abstract first appeared for US patent application 18484783 titled 'GENERATING REPRESENTATION OF USER BASED ON DEPTH MAP

The abstract describes a method that involves receiving video streams of a user's face, determining the location of the face, generating a depth map, and creating a representation of the user based on the depth map and video stream.

  • Receiving a first video stream of the user's face via a camera
  • Determining the location of the user's face using a facial landmark detection model
  • Receiving a second video stream of the user's face via the camera
  • Generating a depth map based on the second video stream, the location of the face, and a depth prediction model
  • Creating a representation of the user based on the depth map and the second video stream

Potential Applications: - Facial recognition technology - Virtual reality applications - Biometric security systems

Problems Solved: - Accurate facial recognition - Enhanced user authentication - Improved user experience in virtual environments

Benefits: - Increased security - Enhanced user customization - Improved user interaction in virtual settings

Commercial Applications: Title: Advanced Facial Recognition Technology for Enhanced Security Systems This technology can be used in security systems for access control, surveillance, and identity verification. It can also be integrated into virtual reality applications for a more immersive user experience.

Questions about the technology: 1. How does this method improve facial recognition accuracy compared to existing technologies? 2. What are the potential privacy concerns associated with using this technology for facial recognition purposes?


Original Abstract Submitted

A method can include receiving, via a camera, a first video stream of a face of a user; determining a location of the face of the user based on the first video stream and a facial landmark detection model; receiving, via the camera, a second video stream of the face of the user; generating a depth map based on the second video stream, the location of the face of the user, and a depth prediction model; and generating a representation of the user based on the depth map and the second video stream.

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