Google Inc.

Jamieson Brettle

Adrian Grange

Andrew Allen

Techniques of simplifying triangular meshes involve performing machine learning on triangle mesh data to produce simplified triangle mesh data representing a simplified triangle mesh having a specified number of triangles. Along these lines, a computer obtains triangular mesh data representing a triangular mesh that approximates an object. For example, a triangular mesh that provides a very good approximation of a human head may have tens or hundreds of thousands of triangular faces and vertices. The computer then inputs this triangular mesh data and a specified number of triangular faces into a machine learning application. The specified number of triangular faces is much less than the number of faces in the triangular mesh data input into the machine learning application. The machine learning application, having been trained on multiple sets of triangular mesh/simplified triangular mesh data pairs, outputs simplified triangular mesh data representing a simplified triangular mesh having the specified number of sides.

Machine learning-based geometric mesh simplification

Techniques of providing spatial audio to a remote user involve transmitting audio data in response to sensor information sent from the remote user. Along these lines, a user remote from a server computer may have a device that is configured to provide data from a sensor, e.g., a GPS, an accelerometer, an orientation sensor, a heart rate monitor, and the like. For example, the user may have granted access to such data via a specialized website hosted by the server computer. The sensor may then send, via a user device (e.g., a smartphone), sensor information that indicates the value of the state of the user. Based on the value of the state of the user, the server computer may then produce an audio file that includes audio data. The server computer may then transmit that audio data to the user device so that the user may hear the audio data.

Spatial audio triggered by a users physical environment

Systems and methods are disclosed for adaptation of presentation speed for content presentation (e.g., audio content presentation). For example, methods may include obtaining an indication of motion in a space; adjusting a presentation speed based on the indication of motion; and presenting a content item associated with a location in the space, wherein the content item is presented using the adjusted presentation speed.

Adaptation of presentation speed

Techniques of performing involve providing interactive audio in addition to ambisonic audio in stereo tracks selected according to the occurrence of events in a media delivery system. For example, a user of a VR system observes a virtual environment that contains many virtual objects. The user may experience binaurally rendered audio played over N ambisonic channels from any number of virtual loudspeakers. In addition, the user may also activate another audio source by positioning his/her head at a certain angle, e.g., to look at a particular virtual object. As a specific example, when the user looks at a picture of a person, an audio track may play over a pair of stereo channels N+1 and N+2. Because they are stereo channels, there is no need to perform convolutions with HRTFs. In this way, audio may be provided for all virtual objects in the virtual environment with a small computational overhead.

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Palo Alto, CA, United States of America

Jamieson Brettle