Dropbox, Inc.

Google Inc.

Plethora Corporation

Caddi Inc.

Ambrus Csaszar

David Euresti

Dwayne Litzenberger

William Haldean Brown

Jonathan Stults

Ruza Markov

Michael Rivlin

Maxime Larabie-Belanger

Ivan Dryanovski

Peter Welinder

Bryan Jadot

Matt Holden

Onur Gonen Guleryuz

Jonathan Tilton Barron

Shahram Izadi

Neal Wadhwa

Adarsh Prakash Murthy Kowdle

Sean Ryan Francesco Fanello

Vladimir Tankovich

Chris McKenzie

Christoph Rhemann

Andrew Bortz

Konstantine Nicholas John Tsotsos

Michael John Schoenberg

Mirko Schmidt

Sameh Khamis

Eric Turner

Vivek Verma

Julien Valentin

Mugur Marculescu

Mira Leung

Maksym Dzitsiuk

Jose Pascoal

Zhaoguang Wang

João Manuel Castro Afonso

A method for automated manufacturing strategy generation can include: identifying features of a desired part from a virtual model; and determining a tactic strategy based on the identified features. The method can additionally include: determining a toolpath primitive for each tactic; combining the toolpath primitives for the tactics to generate a master toolpath; and translating the master toolpath into machine code.

Automatic strategy determination for computer aided manufacturing

A handheld user device includes a monocular camera to capture a feed of images of a local scene and a processor to select, from the feed, a keyframe and perform, for a first image from the feed, stereo matching using the first image, the keyframe, and a relative pose based on a pose associated with the first image and a pose associated with the keyframe to generate a sparse disparity map representing disparities between the first image and the keyframe. The processor further is to determine a dense depth map from the disparity map using a bilateral solver algorithm, and process a viewfinder image generated from a second image of the feed with occlusion rendering based on the depth map to incorporate one or more virtual objects into the viewfinder image to generate an AR viewfinder image. Further, the processor is to provide the AR viewfinder image for display.

Depth from motion for augmented reality for handheld user devices

A method for depth sensor aided estimation of virtual reality environment boundaries includes generating depth data at a depth sensor of an electronic device based on a local environment proximate the electronic device. A set of initial boundary data is estimated based on the depth data, wherein the set of initial boundary data defines an exterior boundary of a virtual bounded floor plan. The virtual bounded floor plan is generated based at least in part on the set of initial boundary data. Additionally, a relative pose of the electronic device within the virtual bounded floor plan is determined and a collision warning is displayed on a display of the electronic device based on the relative pose.

Depth sensor aided estimation of virtual reality environment boundaries

A content item on a content management system can be shared using a generated sharing link. The sharing link can be a custom network address, such as a uniform resource locator (URL), which allows the content item to be accessed without authentication. The sharing index and a content path of the content items can be listed in a sharing index used to identify the content upon a request initiated by the sharing link. The content management system can generate a content link to a content item upon receiving a sharing input from a user indicating the user wants to share a content item. Alternatively, in some embodiments, sharing links can be pre-generated by the content management system and stored on the client device. The sharing link can stored directly to a data buffer on the client device, such as a clipboard, where it can be accessed by the user.

Sharing a content item

A light installer can be utilized to improve the installation process of a client-side application. A light installer can be an installer containing only the necessary information to initiate the installation process, such as information necessary for prompting the user for required data and authorizations, communicating with the content management system, downloading additional resources, and installing the client-side application. The light installer can minimize user interaction time by obtaining all necessary user authorizations early in the installation process, thereby enabling the light installer to install all components of the client-side application without further authorization from the user. Further, the light installer can be tagged with data identifying a user account associated with the client device that can be used for reporting, pre-populating data during the installation process, customizing the installation process, pre-authorizing the client-side application, etc.

System and method for installing a client application using a light installer

Some systems allow a user to access content using both a native client application and a web interface. In these systems, the client application authorized to access a user account can assist with automatically logging a user into the web interface through the use of authentication tokens. In response to an authentication request, the client application can select a token and split it into multiple parts. One piece can be embedded in a URL and a second piece can be stored in a file. The file can also contain browser executable instructions that when executed combine the two pieces to re-create the token and send the re-created token to a server to authenticate the user. The client application can forward the URL to the browser, which can direct the browser to the file. The browser can execute the instructions thereby authenticating the user.

Client application assisted automatic user log in

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San Francisco, CA, United States of America

Ambrus Csaszar