Abstract: A method and apparatus for array image processing are provided. The method includes receiving sub images corresponding to different views of an input array image generated through an array lens, generating temporary restored images based on the sub images using a gradient between neighboring pixels of each of the sub images, determining matching information based on a view difference between pixels of the sub images using a neural network model, based on a pixel distance between matching pairs of the pixels of the sub images using the matching information, extracting refinement targets from the matching pairs, refining the matching information by replacing at least some of target pixels included in the refinement targets based on a local search of a region based on pixel locations of the refinement targets, and generating an output image of a single view by merging the temporary restored images based on the refined matching information.

Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.

Abstract: An electronic device includes a display device configured to output an image, a parallax optical element configured to provide a light corresponding to the image output from the display device, to an eyebox of a user, and a processor configured to adjust a parameter of the parallax optical element based on a change of a look down angle (LDA) between the eyebox and a virtual image plane formed by the display device and the parallax optical element.

Abstract: Provided is an electronic device including a display to output an image, a parallax optical element configured to provide light corresponding to the image to a plurality of viewpoints, an input interface configured to receive an input to calibrate the parallax optical element by a user who observes a pattern image from a reference viewpoint among the plurality of viewpoints, and a processor configured to output the pattern image generated by rendering a calibration pattern toward the reference viewpoint, adjust at least one of a pitch parameter, a slanted angle parameter, and a position offset parameter of the parallax optical element based on the input, and output, by the display, the pattern image adjusted by re-rendering the calibration pattern based on an adjusted parameter.

Abstract: An image processing method and an image processing apparatus are provided. The image processing method includes acquiring information of a first region of interest (ROI) in a first frame, estimating information of a second ROI in a second frame that is received after the first frame, based on the acquired information of the first ROI, and sequentially storing, in a memory, subframes that are a portion of the second frame, each of the subframes being a line of the second frame. The image processing method further includes determining whether a portion of the stored subframes includes the second ROI, based on the estimated information of the second ROI, and based on the portion of the stored subframes being determined to include the second ROI, processing the portion of the stored subframes.

Abstract: Provided is a method and apparatus for eye tracking. An eye tracking method includes detecting an eye area corresponding to an eye of a user in a first frame of an image; determining an attribute of the eye area; selecting an eye tracker from a plurality of different eye trackers, the eye tracker corresponding to the determined attribute of the eye area; and tracking the eye of the user in a second frame of the image based on the selected eye tracker, the second frame being subsequent to the first frame.

Abstract: Provided is an electronic device including a display to output an image, a parallax optical element configured to provide light corresponding to the image to a plurality of viewpoints, an input interface configured to receive an input to calibrate the parallax optical element by a user who observes a pattern image from a reference viewpoint among the plurality of viewpoints, and a processor configured to output the pattern image generated by rendering a calibration pattern toward the reference viewpoint, adjust at least one of a pitch parameter, a slanted angle parameter, and a position offset parameter of the parallax optical element based on the input, and output, by the display, the pattern image adjusted by re-rendering the calibration pattern based on an adjusted parameter.

Abstract: Provided is a method and apparatus for eye tracking. An eye tracking method includes detecting an eye area corresponding to an eye of a user in a first frame of an image; determining an attribute of the eye area; selecting an eye tracker from a plurality of different eye trackers, the eye tracker corresponding to the determined attribute of the eye area; and tracking the eye of the user in a second frame of the image based on the selected eye tracker, the second frame being subsequent to the first frame.

Abstract: Provided is an electronic device including a display, a parallax optical element configured to provide light corresponding to an image output from the display to an eyebox of a user, a temperature sensor configured to measure a temperature around the parallax optical element, a memory configured to store a plurality of parameter calibration models for determining correction information in different temperature ranges for a parameter of the parallax optical element, and a processor configured to determine correction information corresponding to the measured temperature based on a parameter calibration model corresponding to the measured temperature among the plurality of parameter calibration models, and adjust the parameter of the parallax optical element based on the correction information.

Abstract: Provided is a polarizing film for a three-dimensional (3D) head-up display (HUD) and a 3D HUD device including the polarizing film, in which the polarizing film includes a polarizer layer, a first protective layer on a first surface of the polarizer layer, and a second protective layer on a second surface of the polarizer layer opposite to the first surface.

Abstract: A method and apparatus for measuring a dynamic crosstalk are provided. The method may include: controlling a driver configured to cause a camera to have a dynamic movement; at either one or both of a left eye position and a right eye position of a user, capturing a stereo pattern image output through a three-dimensional (3D) display, by the camera while the camera is in the dynamic movement; and measuring the dynamic crosstalk occurring by the 3D display based on the stereo pattern image captured by the camera.

Abstract: An image processing method includes receiving an image frame, detecting a face region of a user in the image frame, aligning a plurality of preset feature points in a plurality of feature portions included in the face region, performing a first check on a result of the aligning based on a first region corresponding to a combination of the feature portions, performing a second check on the result of the aligning based on a second region corresponding to an individual feature portion of the feature portions, redetecting a face region based on a determination of a failure in passing at least one of the first check or the second check, and outputting information on the face region based on a determination of a success in passing the first check and the second check.

Abstract: An electronic device includes a display device configured to output an image, a parallax optical element configured to provide a light corresponding to the image output from the display device, to an eyebox of a user, and a processor configured to adjust a parameter of the parallax optical element based on a change of a look down angle (LDA) between the eyebox and a virtual image plane formed by the display device and the parallax optical element.

Abstract: An image processing method and an image processing apparatus are provided. The image processing method includes acquiring information of a first region of interest (ROI) in a first frame, estimating information of a second ROI in a second frame that is received after the first frame, based on the acquired information of the first ROI, and sequentially storing, in a memory, subframes that are a portion of the second frame, each of the subframes being a line of the second frame. The image processing method further includes determining whether a portion of the stored subframes includes the second ROI, based on the estimated information of the second ROI, and based on the portion of the stored subframes being determined to include the second ROI, processing the portion of the stored subframes.

Abstract: A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

Abstract: Provided is an electronic device including a display to output an image, a parallax optical element configured to provide light corresponding to the image to a plurality of viewpoints, an input interface configured to receive an input to calibrate the parallax optical element by a user who observes a pattern image from a reference viewpoint among the plurality of viewpoints, and a processor configured to output the pattern image generated by rendering a calibration pattern toward the reference viewpoint, adjust at least one of a pitch parameter, a slanted angle parameter, and a position offset parameter of the parallax optical element based on the input, and output, by the display, the pattern image adjusted by re-rendering the calibration pattern based on an adjusted parameter.

Abstract: An image processing method includes receiving an image frame, detecting a face region of a user in the image frame, aligning a plurality of preset feature points in a plurality of feature portions included in the face region, performing a first check on a result of the aligning based on a first region corresponding to a combination of the feature portions, performing a second check on the result of the aligning based on a second region corresponding to an individual feature portion of the feature portions, redetecting a face region based on a determination of a failure in passing at least one of the first check or the second check, and outputting information on the face region based on a determination of a success in passing the first check and the second check.

Abstract: An image processing method and an image processing apparatus are provided. The image processing method includes acquiring information of a first region of interest (ROI) in a first frame, estimating information of a second ROI in a second frame that is received after the first frame, based on the acquired information of the first ROI, and sequentially storing, in a memory, subframes that are a portion of the second frame, each of the subframes being a line of the second frame. The image processing method further includes determining whether a portion of the stored subframes includes the second ROI, based on the estimated information of the second ROI, and based on the portion of the stored subframes being determined to include the second ROI, processing the portion of the stored subframes.

Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.

Abstract: An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.