Amazon Technologies, Inc.

Human, Incorporated

Brian P Jackson

Thomas Lund Dideriksen

Eric Paul Bennett

Benjamin S Willis

Dirk Padfield

Gregory James Nyssen

Kyle Marcolini

Joshua Debner

Joseph David Dieter

Gelmont Rios

Systems and methods are described for generating models of three-dimensional objects using an identified template from a library of reference objects. An object may be scanned using a 3D scanner or other computing device, which may generate scan data including a 'point cloud' of geometric points corresponding to the surface of the object. The point cloud or other scan data may be used to identify a reference object that corresponds to the scanned object, and a normalized point cloud may be obtained for the reference object. The normalized point cloud may then be deformed to more accurately fit the shape of the scanned object, and a 3D model may be generated based on the deformed point cloud. Multiple templates may be used to generate a normalized point cloud for an object that partially corresponds to more than one reference object, and images, meshes, wireframes, or other representations may be generated.

3D scanning and modeling system

Systems and methods are directed to an audio computing device and methods for modifying and/or blending an ambient-sound signal and a non-ambient-sound signal together into a blended signal having one or more desirable characteristics. In some embodiments, the audio computing device may obtain an ambient sound signal by capturing ambient sound with a microphone. The audio computing device may also obtain a non-ambient sound signal that does not represent ambient sounds. The audio computing device may modify one or both of the sound signals to change properties of the sound signals based at least in part on contextual information related to the sound signals, the audio computing device, or the like. The audio computing device may then blend the modified signals together and cause the blended signal to be output as sound via a speaker that provides an improved audio experience for a user of the audio computing device.

Dynamic modification of audio signals

Systems and methods are described for providing an image validation module. The image validation mobile enables capture, enhancement, validation, and upload of a digital image to a networked computing service, applying criteria that correspond to image validation criteria used by the networked computing service. The image validation mobile may be executed on a mobile computing device, and may authenticate itself to the networked computing service to indicate that digital images have already been validated. The image validation module may provide feedback before, during, or after image capture to enable the capture of valid images, and may provide feedback before, during, or after image enhancement to allow issues that prevent a digital image from passing validation to be addressed.

Image validation

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Seattle, WA, United States of America

Brian P Jackson