A9.com, Inc.

Northwestern University

Jesse Chang

Xing Zhang

Arnab Sanat Kumar Dhua

Yu Lou

Jared Corso

Jason Freund

Arnab S Dhua

Himanshu Arora

Karl Hillesland

Oliver Strider Cossairt

Jason Canada

Nicholas Corso

Nathan S Matsuda

Brian Graham

Christopher Gezon

A system to process images includes a light source configured to emit a first illumination pattern onto one or more first portions of a scene. The system also includes an image sensor configured to capture light reflected from the scene in response to the emitted first illumination pattern. The system also includes an optimizer configured to perform raytracing of the light reflected from the scene. The system further includes a processor operatively coupled to the optimizer. The processor is configured to determine a parameter of a surface of the scene based on the raytracing, cause the light source to emit a second illumination pattern onto one or more second portions of the scene based at least in part on the parameter of the surface, and refine the parameter of the surface of the scene based on additional raytracing performed on reflected light from the second illumination pattern.

Adaptive sampling for structured light scanning

Approaches in accordance with various embodiments provide for the presentation of augmented reality (AR) content with respect to optically challenging surfaces. Such surfaces can be difficult to locate using conventional optical-based approaches that rely on visible features. Embodiments can utilize the fact that horizontal surfaces can be located relatively easily, and can determine intersections or boundaries of those horizontal surfaces that likely indicate the presence of another surface, such as a vertical wall. This boundary can be determined automatically, through user input, or using a combination of such approaches. Once such an intersection is located, a virtual plane can be determined whose relative location to a device displaying AR content can be tracked and used as a reference for displaying AR content.

Optically challenging surface detection for augmented reality

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

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Granada Hills, CA, United States of America

Jesse Chang