Systems and methods provide for an automated system for generating one or more three dimensional (3D) images of a vehicle and/or a baseline image for that vehicle. The system may receive 3D images of a plurality of vehicles of a same type (e.g., same make, model, year, etc.) and generate a 3D image of a baseline vehicle for vehicles of that same type based on 3D images of the plurality of vehicles of the particular type. The system may use a 3D image of the baseline vehicle to determine a characteristic of another vehicle, such as a modification made to the vehicle, damage to the vehicle, cost to repair the vehicle or replace parts of the vehicle, a value of the vehicle, an insurance quote for the vehicle, etc. In some aspects, the 3D images may optionally comprise 3D point clouds, and 3D laser scanners may be used to capture 3D images of vehicles.

A method and a display system for adjusting an output image of at least one of a first panel and a second panel are provided. The method includes obtaining a first output image for the first panel and a second output image for the second panel, determining a first calibration data applied to the first output image and not applicable to the second output image according to a first target information, and adjusting at least one of a luminance and a chromaticity of the first output image according to the first calibration data.

Provided are methods and apparatuses generating a color image and a depth image by using a first filter that transmits light in multiple wavelength bands and a second filter that transmits light in a particular wavelength band that is included in multiple wavelength bands.

System and method for video processing. First video levels for pixels for a left image of a stereo image pair are received from a GPU. Gamma corrected video levels (g-levels) are generated via a gamma look-up table (LUT) based on the first video levels. Outputs of the gamma LUT are constrained by minimum and/or maximum values, thereby excluding values for which corresponding post-OD display luminance values differ from static display luminance values by more than a specified error. Overdriven video levels are generated via a left OD LUT based on the g-levels. The overdriven video levels correspond to display luminance values that differ from corresponding static display luminance values by less than the error threshold, and are provided to a display device for display of the left image. This process is repeated for second video levels for a right image of the stereo image pair, using a right OD LUT.

An image pickup system includes: an image pickup section including a first image pickup device outputting a first image pickup signal, and a second image pickup device outputting a second image pickup signal; a processor that performs signal processing on image pickup signals; and a memory section holding a difference correction parameter, the difference correction parameter indicating difference of image characteristics derived from sensitivity of each image pickup device, in image pickup signals outputted from the first image pickup device and the second image pickup device; and a correction processing section performing correction processing on at least one of the first image pickup signal and the second image pickup signal, based on the difference correction parameter.

A method, system and computer readable storage media for visualizing to a patient a magnified dental treatment site. By obtaining raw data from a stereo camera recording a dental treatment site, an enlarged, well-lit and spatially displayed view of the dental treatment site may be visualized in real time in augmented reality and virtual reality systems for diagnoses and treatment planning.

A method, system and computer readable storage media for visualizing to a patient a magnified dental treatment site. By obtaining raw data from a stereo camera recording a dental treatment site, an enlarged, well-lit and spatially displayed view of the dental treatment site may be visualized in real time in augmented reality and virtual reality systems for diagnoses and treatment planning.

A three-dimensional (3D) light field display module is provided. The display module includes: a 3D pixel array of 3D pixels each made of a plurality of pixels, a metasurface multi-lens array (MLA) made of a plurality of metalenses, and an active matrix electrically coupled to the 3D pixel array for activating each of the plurality of pixels. The metasurface MLA is positioned parallel to the 3D pixel array, spaced therefrom and arranged such that each metalens of the plurality of metalenses is opposite and aligned with a corresponding 3D pixel of the plurality of 3D pixels for directing incident light rays emitted by the 3D pixel to different views. The 3D light field display module may be made with different parameters and can be used in large 3D TV or smartphones with 3D displays.

A three-dimensional (3D) light field display module is provided. The display module includes: a 3D pixel array of 3D pixels each made of a plurality of pixels, a metasurface multi-lens array (MLA) made of a plurality of metalenses, and an active matrix electrically coupled to the 3D pixel array for activating each of the plurality of pixels. The metasurface MLA is positioned parallel to the 3D pixel array, spaced therefrom and arranged such that each metalens of the plurality of metalenses is opposite and aligned with a corresponding 3D pixel of the plurality of 3D pixels for directing incident light rays emitted by the 3D pixel to different views. The 3D light field display module may be made with different parameters and can be used in large 3D TV or smartphones with 3D displays.

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.