Abstract: Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: A method of interpreting images and/or waveforms determines differences between populations, input sources and/or test subjects. The method includes operations. The operations include receiving a first set of data from at least one of the input sources; encoding the first received data into a first lower dimensional representation; receiving a second set of data from the at least one of the input sources or from a second input source; encoding the second received data into a second lower dimensional representation; comparing the first low dimensional representation with the second low dimensional representation to generate a reconstruction; decoding the representation to reconstruct the data into a format similar to that of the received data; and transmitting a signal corresponding to the decoded representation. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage medium are also described.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: A vehicle may have optical structures such as windows and mirrors that have the potential to allow glare from external objects to shine into the eyes of a driver or other vehicle occupant. A control circuit may gather information on where the eyes of the driver are located using a camera mounted in the vehicle and may gather information on where the sun or other source of glare are located outside of the vehicle. Based on this information, the control circuit may direct a light modulator on a window or mirror to selectively darken an area that prevents the glare from reaching the eyes of the driver. The light modulator may have a photochromic layer that is adjusted by shining light onto the photochromic layer, may be a liquid crystal modulator, an electrochromic modulator, or other light modulator layer.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.

Abstract: A vehicle may have optical structures such as windows and mirrors that have the potential to allow glare from external objects to shine into the eyes of a driver or other vehicle occupant. A control circuit may gather information on where the eyes of the driver are located using a camera mounted in the vehicle and may gather information on where the sun or other source of glare are located outside of the vehicle. Based on this information, the control circuit may direct a light modulator on a window or mirror to selectively darken an area that prevents the glare from reaching the eyes of the driver. The light modulator may have a photochromic layer that is adjusted by shining light onto the photochromic layer, may be a liquid crystal modulator, an electrochromic modulator, or other light modulator layer.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for receiving one or more stereo images of a set of pupils, wherein each of the set of pupils is part of an eye of a head, calculating a location of each of the set of pupils from the stereo images, determining a head pose based on the one or more stereo images, identifying a location of the set of pupils in the head based on the determined head pose, and identifying a gaze using the locations of each of the set of pupils.

Abstract: Systems, methods, and computer readable media to detect and track a user's eye gaze and head movement are described. In general, techniques are disclosed for identifying a user's pupil location and using this information, in conjunction with a three dimensional (3D) model of the user's head, perform gaze tracking operations. More particularly, techniques disclosed herein utilize pupil gradient information to refine an initial pupil location estimate. Once identified, the pupil's location may be combined with 3D head pose information to generate an accurate and robust gaze detection mechanism.