A9.com, Inc.

Nicholas Corso

Colin Jon Taylor

Yu Lou

Mark Scott Waldo

Shaun Michael Post

Michael Patrick Cutter

Sean Niu

Arnab S Dhua

Himanshu Arora

Karl Hillesland

Xing Zhang

Jason Canada

Jesse Chang

Brian Graham

A complex three-dimensional virtual representation of an object can be rendered. Virtual images can be captured representing a plurality of views of the complex virtual representation. The virtual images can be converted into binary masks depicting the object pixels and non-object pixels in the virtual images. The binary masks can be used to create a three-dimensional representation of the object having lower complexity than the first three-dimensional virtual representation of the object. In embodiments, the low complexity three-dimensional virtual representation of the object and the virtual images are sent to a mobile device to render a low payload representation of the object on the mobile device.

Rendering three-dimensional models on mobile devices

Systems and methods for a markerless approach to displaying an image of a virtual object in an environment are described. A computing device is used to capture an image of a real-world environment; for example including a feature-rich planar surface. One or more virtual objects which do not exist in the real-world environment are displayed in the image, such as by being positioned in a manner that they appear to be resting on the planar surface, based at least on a sensor bias value and scale information obtained by capturing multiple image views of the real-world environment.

Markerless image analysis for augmented reality

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Emeryville, CA, United States of America

Nicholas Corso