Intel Corporation

Stanley K Melax

Hyungryul J Choi

David A Kalinowski

Vikrant Bhakta

Byron R Cocilovo

Nathanael D Parkhill

Leonid Keselman

Sterling G Orsten

An electronic device may include a display module that produces light having an image, a lens that directs the light to a waveguide, and a waveguide that directs the light to an eye box. The lens may produce a foveated image in the light by applying a non-uniform magnification to the image in the light. The non-uniform magnification may vary as a function of angle within a field of view of the lens. This may allow the foveated image to have higher resolution within the central region than in the peripheral region. Performing foveation using the lens maximizes the resolution of images at the eye box without increasing the size of the display module. Control circuitry on the device may apply a pre-distortion to the image that is an inverse of distortion introduced by the lens in producing the foveated image.

Optical systems with lens-based static foveation

Embodiments relate to tracking a pose of a 3D object. In embodiments, a 3D computer model, consisting of geometry and joints, matching the 3D real-world object may be used for the tracking process. Processing the 3D model may be done using collision constraints generated from interpenetrating geometry detected in the 3D model, and by angular motion constraints generated by the joints describing the connections between pieces/segments/bones of the model. The depth data in its 3D (point cloud) form, supplied by a depth camera, may be used to create additional constraints on the surface of the 3D model thus limiting its motion. Combined together, all the constraints, using linear equation processing, may be satisfied to determine a plausible pose of the 3D model that matches the real-world pose of the object in front of the 3D camera.

3D object tracking

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Los Gatos, CA, United States of America

Stanley K Melax