Adaptable framework for cloud assisted augmented reality

US9495760B2 · 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: Sep 19, 2011
• Grant date: Nov 15, 2016
• Expiry date: Feb 7, 2033

Classification

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

Abstract

A mobile platform efficiently processes sensor data, including 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 sensor data, such as image data, and determines whether there is a trigger event to transmit the sensor data to the server. The trigger event may be a change in the sensor data relative to previously acquired sensor data, e.g., a scene change in an image. When a change is present, the sensor data may be transmitted to the server for processing. The server processes the sensor data and returns information related to the sensor 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.