Adaptable framework for cloud assisted augmented reality

US9633447B2 · kind B2 · utility

Assignee

• QUALCOMM Incorporated · US

Inventors

• Ashwin Swaminathan · San Jose, US
• Piyush Sharma · Pune, IN
• Bolan Jiang · San Diego, US
• Murali Ramaswamy Chari · San Diego, US
• Serafin Diaz Spindola · San Diego, US
• Pawan Kumar Baheti · Kanchinakote, IN
• Vidya Narayanan · Pittsburgh, US

Key dates

• Filing date: Jun 10, 2016
• Grant date: Apr 25, 2017
• Expiry date: Jun 10, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/10004
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.