Amazon Technologies, Inc.

Eric Paul Bennett

Thomas Lund Dideriksen

Brian P Jackson

Gonzalo Alberto Ramos

Timothy Andrew Ong

Dirk Padfield

Gregory James Nyssen

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

The display of 3D-representations involves navigation and interaction with users engaged with the display. Points of interest (POIs), as applied to areas of interest for a 3D-representation, are anchored to the 3D-representation on the display and are moveable in synchrony with the 3D-representation navigation. POIs are presented in which interactive actions are associated with the POIs. When a user selects one of the interactive actions associated with a POI, the selection can prompt the display of a new 3D-representation of an item related to the 3D-representation to which the POI is anchored, thereby improving access and analysis about information for related items.

Interactive points of interest for 3D-representations

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.

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Seattle, WA, United States of America

Eric Paul Bennett