Samsung Electronics Co., Ltd.

Mingcai Zhou

Weiming Li

Haitao Wang

Tao Hong

Zhihua Liu

Xiying Wang

Gengyu Ma

Dongkyung Nam

Shaohui Jiao

Kang Xue

Dong Kyung Nam

Zairan Wang

Jinho Lee

Jingu Heo

Ji Yeun Kim

Shandong Wang

Qiang Wang

Lin Ma

Yang Ho Cho

Chun Long Wang

Jingtao Xu

Myungjae Jeon

Hyoseok Hwang

Deheng Qian

Guangwei Wang

YangHo Cho

Ya Lu

An image processing apparatus includes a calculator configured to calculate a respective position offset for each of a plurality of candidate areas in a second frame based on a position of a basis image in a first frame and a determiner configured to determine a final selected area that includes a target in the second frame based on a respective weight allocated to each of the plurality of candidate areas and the calculated respective position offset.

Image processing apparatus and method

A method of processing a stereoscopic video includes determining whether a current frame of a stereoscopic video is a video segment boundary frame; determining whether an image error is included in the current frame when the current frame is the video segment boundary frame; and processing the current frame by removing, from the current frame, a post inserted object (PIO) included in the current frame when the image error is included in the current frame.

Method and apparatus for processing stereoscopic video

Provided is a head-mounted display (HMD) apparatus, including a light modulator and eye lens, where the light modulator is configured to perform integral imaging on an image output from a 2D display panel, to form a light field image, the eye lens are configured to magnify the light field image formed by the light modulator.

Head-mounted apparatus, and method thereof for generating 3D image information

A method and apparatus for correcting an image error in a naked-eye three-dimensional (3D) display may include controlling a flat-panel display displaying a stripe image, calculating a raster parameter of the naked-eye 3D display based on a captured stripe image, and correcting a stereoscopic image displayed on the naked-eye 3D display based on the calculated raster parameter, wherein the naked-eye 3D display includes the flat-panel display and the raster.

Method and apparatus for correcting image error in naked-eye three-dimensional (3D) display

A three-dimensional (3D) display apparatus and method are provided. The 3D display apparatus may include a display screen configured to display each of a plurality of sub-images included in a single frame of a 3D image using a time-division multiplexing (TDM), a polarizer configured to polarize each of the displayed sub-images by changing a polarization direction using the TDM, in synchronization with the display screen, and microlens arrays arranged in a plurality of layers and configured to sequentially refract the polarized sub-images, respectively.

Three-dimensional (3D) display apparatus and method

An electronic device and an operation method therefor are provided. The electronic device may include: a display panel; an optical element; and a control unit which senses a location of the optical element, generates a 3D image through via display panel and the optical element in a state in which the display panel and the optical element overlap each other, and generates a 2D image via the display panel in a state in which the optical element is detached or separated from the display panel.

Electronic device and operation method therefor

A display device may include a plurality of display panels, and light path adjusters disposed on upper portions of the plurality of the display panels. The light path adjusters include a lens array configured to transfer different beams emitted from the plurality of display panels to each eye of a user, and a joint removal structure disposed on one side of the light path adjusters corresponding to a connecting joint that connects the plurality of display panels. The joint removal structure is configured to refract the beams emitted from the plurality of display panels.

Light path adjuster and display device including the same

A three-dimensional (3D) depth sensor may include: a plurality of light sources configured to irradiate light to an object, the light having different center wavelengths; an optical shutter configured to allow reflected light reflected from the object to pass through; and an image sensor configured to filter the reflected light having passed through the optical shutter and detect the filtered light.

Three-dimensional depth sensor

An eyeglass-less 3D display device, and a device and method that compensate for a displayed margin of error are provided. The display device acquires an image of an integral image display (IID) image captured by a single camera, and compensates for a margin of error which arises due to a discrepancy between the designed position of a micro lens array located on one surface of a 2D panel and the actual position thereof, so as to provide a high-quality 3D image.

Device and method that compensate for displayed margin of error in IID

A method for reducing a moire fringe includes calculating a moire fringe width for each of different angles between a microlens array and pixels of a display screen. The method includes determining, to be a final inclination angle between the microlens array and the pixels of the display screen, one of the different inclination angles that corresponds to a minimum width among the calculated moire fringe widths.

Apparatus and methods for reducing moire fringe

A feature point positioning apparatus includes a memory storing computer-executable instructions; and one or more processors configured to execute the computer-executable instructions such that the one or more processors are configured to, iteratively update a first form coefficient based on, a nonlinear feature extracted from an image, and a regression factor matrix obtained through training, and detect a position of the feature point of the image based on, the updated first form coefficient, and a statistical form model obtained through training.

Method and apparatus for positioning feature point

A three-dimensional (3D) display method includes generating N first visual images, N being a natural number greater than 1; generating M second visual images from each of the N first visual images, M being a natural number greater than 1; acquiring N visual image groups corresponding to the N first visual images, respectively, such that, for each one of the N visual image groups, the visual image group includes the M second visual images generated from the first visual image, from among the N first visual images, to which the visual image group corresponds; generating M elemental image array (EIA) images based on the N visual image groups; and time-share displaying the M EIA images.

3D display method and device for executing same

Provided are methods and apparatuses for calibrating a three-dimensional (3D) image in a tiled display including a display panel and a plurality of lens arrays. The method includes capturing a plurality of structured light images displayed on the display panel, calibrating a geometric model of the tiled display based on the plurality of structured light images, generating a ray model based on the calibrated geometric model of the tiled display, and rendering an image based on the ray model.

Method and apparatus for calibrating a three-dimensional (3D) image in a tiled display

A method of determining eye position information includes identifying an eye area in a facial image; verifying a two-dimensional (2D) feature in the eye area; and performing a determination operation including, determining a three-dimensional (3D) target model based on the 2D feature; and determining 3D position information based on the 3D target model.

Method and apparatus for determining eye position information

An image processing method and apparatus are provided. The image processing method may include determining whether stereoscopic objects that are included in an image pair and that correspond to each other are aligned on the same horizontal line. The method includes determining whether the image pair includes target objects having different geometric features from those of the stereoscopic objects if the stereoscopic objects are not aligned on the same horizontal line. The method includes performing image processing differently for the stereoscopic objects and for the target objects if the image pair includes the target objects.

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Beijing, China

Mingcai Zhou