Google Inc.

Varun Ganapathi

Christian Plagemann

Alejandro Jose Kauffmann

Hendrik Dahlkamp

Aaron Joseph Wheeler

Liang-Yu Tom Chi

Abraham Murray

Yong Zhao

A privacy indicator is provided that shows whether sensor data are being processed in a private or non-private mode. When sensor data are used only for controlling a device locally, it may be in a private mode, which may be shown by setting the privacy indicator to a first color. When sensor data are being sent to a remote site, it may be in a non-private mode, which may be shown by setting the privacy indicator to a second color. The privacy mode may be determined by processing a command in accordance with a privacy policy of determining if the command is on a privacy whitelist, blacklist, greylist or is not present in a privacy command library. A non-private command may be blocked.

Privacy aware camera and device status indicator system

Aspects of the present disclosure relate to controlling the functions of various devices based on spatial relationships. In one example, a system may include a depth and visual camera and a computer (networked or local) for processing data from the camera. The computer may be connected (wired or wirelessly) to any number of devices that can be controlled by the system. A user may use a mobile device to define a volume of space relative to the camera. The volume of space may then be associated with a controlled device as well as one or more control commands. When the volume of space is subsequently occupied, the one or more control commands may be used to control the controlled device. In this regard, a user may switch a device on or off, increase volume or speed, etc. simply by occupying the volume of space.

System and method for programing devices within world space volumes

Systems and techniques are disclosed for visually rendering a requested scene based on a virtual camera perspective request as well as a projection of two or more video streams. The video streams can be captured using two dimensional cameras or three dimensional depth cameras and may capture different perspectives. The projection may be an internal projection that maps out the scene in three dimensions based on the two or more video streams. An object internal or external to the scene may be identified and the scene may be visually rendered based on a property of the object. For example, a scene may be visually rendered based on where an mobile object is located within the scene.

Dynamic POV composite 3D video system

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San Francisco, CA, United States of America

Varun Ganapathi