Amazon Technologies, Inc.

Renwei Yan

Edward Dietz Crump

Samuel Henry Chang

Olusanya Temitope Soyannwo

Ning Yao

Weijian Wang

Christopher D Coley

Louis LeRoi LeGrand, Iii

Eric Wang

Ronald Joseph Degges, Jr

Ramy Sammy Sadek

Sankara Narayana Hemanth Meenakshisundaram

Siddarth Raghunathan

A two-dimensional (2D) image and a three-dimensional (3D) of an environment may be captured. Upon identifying a location and/or contour of an object from the 3D image, the object from the 3D image may be mapped onto the 2D image. The object, including its location and contour, may be identified from the 2D image. Based at least partly on a comparison between the object from the 3D image and the object from the 2D image, a disparity may be calculated. The location and contour of the object may be determined when it is determined that the disparity is less than or equal to a predetermined threshold. Otherwise, the object from the 3D image may be remapped onto the 2D image.

Object detection and identification

A sequence of 3D hand poses may be used to define a hand gesture, and different hand gestures may be represented by different sequences of poses. One or more hand gestures may be used to generate a virtual input device. Another one or more hand gestures may subsequently be used to provide input via the virtual input device.

Gesture based virtual devices

Techniques are described for performing automatic focusing of a projected image on a mobile projection surface. Specific regions of the projected image are identified that are likely to be desired to stay in optimal focus, and attributes of those specific regions, such as sharpness and contrast, can be used to determine the need to refocus the image. Advanced knowledge of the image data being projected can be utilized to determine the specific regions of the projected image that require monitoring for optimal focusing.

Automatic projection focusing

Described herein are systems and devices for mitigating multi-path interference in optical time-of-flight systems. An input surface is configured with a pattern comprising predominately low albedo material and a plurality of decimated high albedo features. The low albedo material is configured to minimize reflectance of light emitted by an emitter. The high albedo material is configured to reflect more of the light than the low albedo material. The low and high albedo materials, or an additional material, may be used to provide a high albedo material in visible light wavelengths, configured for use as a projection surface.

Multi-path reduction for optical time-of-flight

In a content browsing environment, a system analyzes content to identify audio commands to be made available to users. The audio commands may be chosen so that they are easily differentiable from each other when using machine-based speech recognition techniques. When the content is displayed, the system monitors a user's speech to detect user utterances corresponding to the audio commands and performs content navigation in response to the user utterances.

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Sunnyvale, CA, United States of America

Renwei Yan