H04N13/133

High dynamic range for head-mounted display device

A technique for adjusting the brightness values of images to be displayed on a stereoscopic head mounted display is provided herein. This technique improves the perceived dynamic range of the head mounted display by dynamically adjusting the pixel intensities (also known generally as “exposure”) of the images presented on the head mounted display based on a detected gaze direction. The head mounted display includes an eye tracker that is able to sense the gaze directions of the eyes. The eye tracker, head mounted display, or a processor of a computer system receives this information, determines an intersection point of the eye gaze and a screen within the head mounted display and identifies a gaze area around this intersection point. Using this gaze area, the processing system adjusts the pixel intensities of an image displayed on the screen based on the intensities of the pixels within the gaze area.

METHOD FOR MODIFYING STEROSCOPIC PAIRS OF IMAGES AND APPARATUS

The present disclosure provides a method for modifying pairs of images for improved three-dimensional displaying. The method comprises analyzing the images for detecting the angle of incidence of the illuminating light in the images, and modifying the luminance values of at least a section of at least one of the images of each pair based on the angle of incidence and anatomical details of a human face. Further, the present invention provides a respective apparatus.

METHOD FOR MODIFYING STEROSCOPIC PAIRS OF IMAGES AND APPARATUS

The present disclosure provides a method for modifying pairs of images for improved three-dimensional displaying. The method comprises analyzing the images for detecting the angle of incidence of the illuminating light in the images, and modifying the luminance values of at least a section of at least one of the images of each pair based on the angle of incidence and anatomical details of a human face. Further, the present invention provides a respective apparatus.

Display device, display method, and computer program
11356653 · 2022-06-07 · ·

A display device capable of automatically switching display of a stereoscopic image and a display of a planar image according to a detected situation of a user is provided. Provided is the display device including a display unit capable of displaying a planar image and a stereoscopic image, and a control unit configured to automatically switch an image to be displayed on the display unit to the planar image or the stereoscopic image, using a detected state of the user.

Display device, display method, and computer program
11356653 · 2022-06-07 · ·

A display device capable of automatically switching display of a stereoscopic image and a display of a planar image according to a detected situation of a user is provided. Provided is the display device including a display unit capable of displaying a planar image and a stereoscopic image, and a control unit configured to automatically switch an image to be displayed on the display unit to the planar image or the stereoscopic image, using a detected state of the user.

USING MACHINE LEARNING TO SELECTIVELY OVERLAY IMAGE CONTENT

Modifications are performed to cause a style of an image to match a different style. A first image is accessed, where the first image has the first style. A second image is also accessed, where the second image has a second style. Subsequent to a deep neural network (DNN) learning these styles, a copy of the first image is fed as input to the DNN. The DNN modifies the first image copy by transitioning the first image copy from being of the first style to subsequently being of the second style. As a consequence, a modified style of the transitioned first image copy bilaterally matches the second style.

USING MACHINE LEARNING TO SELECTIVELY OVERLAY IMAGE CONTENT

Modifications are performed to cause a style of an image to match a different style. A first image is accessed, where the first image has the first style. A second image is also accessed, where the second image has a second style. Subsequent to a deep neural network (DNN) learning these styles, a copy of the first image is fed as input to the DNN. The DNN modifies the first image copy by transitioning the first image copy from being of the first style to subsequently being of the second style. As a consequence, a modified style of the transitioned first image copy bilaterally matches the second style.

Microscope made with CMOS camera(s)
11340441 · 2022-05-24 · ·

A medical/surgical microscope with two cameras configured to capture two dimensional images of specimens being observed. The medical/surgical microscope is secured to a control apparatus configured to adjust toe-in of the two cameras to insure the convergence of the images. The medical/surgical microscope includes a computer system with a non-transitory memory apparatus for storing computer program code configured for digitally rendering real-world medical/surgical images. The medical/surgical microscope has an illumination system with controls for focusing and regulating the lighting of a specimen. The medical/surgical microscope is configured for real-time video display with the function of recording and broadcasting simultaneously during surgery.

Microscope made with CMOS camera(s)
11340441 · 2022-05-24 · ·

A medical/surgical microscope with two cameras configured to capture two dimensional images of specimens being observed. The medical/surgical microscope is secured to a control apparatus configured to adjust toe-in of the two cameras to insure the convergence of the images. The medical/surgical microscope includes a computer system with a non-transitory memory apparatus for storing computer program code configured for digitally rendering real-world medical/surgical images. The medical/surgical microscope has an illumination system with controls for focusing and regulating the lighting of a specimen. The medical/surgical microscope is configured for real-time video display with the function of recording and broadcasting simultaneously during surgery.

METHOD AND APPARATUS FOR OVERLAY PROCESSING IN 360 VIDEO SYSTEM
20220159232 · 2022-05-19 · ·

Provided is a 360-degree image data processing method performed by a 360-degree video reception apparatus. The method includes receiving 360-degree image data, obtaining information on an encoded picture and metadata from the 360-degree image data, decoding a picture based on the information on the encoded picture, rendering the decoded picture and an overlay based on the metadata, in which the metadata includes overlay related metadata, the overlay is rendered based on the overlay related metadata, the overlay related metadata includes information on an alpha plane of the overlay, and the information on the alpha plane of the overlay is included in a image item or a video track.