Apple Inc.

Luke A Pillans

Daniel R Kurz

Aleksandr M Movshovich

Arthur Yasheng Zhang

Nicholas C Soldner

Lionel E Edwin

Simon Fortin-deschênes

Christian I Moore

A method of operating an electronic device to mask noise at low scene brightness levels is provided. The method can include acquiring images of a scene and determining a scene brightness level of the acquired images. In response to determining that the scene brightness level is in a first range, the acquired images can be displayed as passthrough content in accordance with a 1:1 nits-to-nits mapping where the perceived brightness of the passthrough content matches the scene brightness level. In response to determining that the scene brightness is less than the first range, the perceived brightness of the passthrough content can be dimmed to be less than the scene brightness level. The method can also include generating virtual content. The passthrough content can be adjusted in accordance with a first scene-brightness-to-display-brightness profile, whereas the virtual content can be adjusted in accordance with a second scene-brightness-to-display-brightness profile.

Head-mounted device with content dimming for masking noise

A scene depicted using a binocular display device may be mis-calibrated in the vertical axis and generate vertical alignment error. A free-fusion state inducing scene may be first displayed that presents a user of the device with a contrasting scene that allows the user to recognize effects of vertical alignment error. Once accustomed to the free-fusion inducing scene, a vertical alignment error measurement scene may be displayed to the user to determine the vertical alignment error generated due to the miscalibration of the device. Based on the observed vertical alignment error, user input may be obtained to align the two patterns. A correction factor may be determined based on the user input and the device may be calibrated based on the correction factor.

Perceptual measure of end-to-end splay

Methods and apparatus for specular surface mapping in which a camera detects reflections of a light source from a specular surface. The detected light sources may be projected onto a celestial sphere as virtual point sources. True positive observations should be tightly clustered on the celestial sphere; thus, false positives may be identified and removed. Specular surface information may then be determined from clusters of the virtual point sources on the celestial sphere. The clusters of virtual point sources on the celestial sphere may be identified and used to identify a surface as a specular surface. The clusters may also be used to extract other information regarding the specular surface, including but not limited to distance to and extent of the specular surface.

Specular surface mapping

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San Diego, CA, United States of America

Luke A Pillans