Samsung Electronics Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Xiying Wang

Haitao Wang

Tao Hong

Weiming Li

Mingcai Zhou

Kang Xue

Zhihua Liu

Gengyu Ma

Dongkyung Nam

Dong Kyung Nam

Jinho Lee

Jingbo Fan

Shaohui Jiao

Shuzheng Gao

Wei Liu

Yang Zhang

Yang Ho Cho

Jingu Heo

Ji Won Kim

Ji Yeun Kim

Fei Fang

Yong Ju Jung

Yong Cui

Yingjie Niu

Jiajing Fu

Kailong Yan

Zhilei Jiang

Guochuan Deng

Pengcheng Song

Junjie Huang

Guocai Bai

Jingsi Zhu

Linlin Pan

Xueting Huo

Chengwei Feng

Lisha Chen

Gangyu Ma

Lusong Wang

The present application discloses a method for displaying map information and corresponding apparatus, electronic device, and computer storage medium, which relates to the fields of deep learning, knowledge graphs, and artificial intelligence. The method may include: when a user starts a map, acquiring a user feature of the user and historical click theme information of the user; for any to-be-recommended theme, determining a click probability of the to-be-recommended theme by using a pre-trained recommendation model according to the user feature and the historical click theme information respectively; and displaying the to-be-recommended themes with the click probabilities meeting a predetermined requirement on the map. The efficiency of acquiring information through maps by users and the like can be improved by use of the solutions according to the present application.

Map information display method and apparatus, electronic device, and computer storage medium

Embodiments of the present disclosure provide an information recommendation method, apparatus, device and a computer readable storage medium. The method includes: acquiring positioning information of a mobile terminal of a user; determining multiple optional geo-fences based on the positioning information; and determining a pre-recommended geo-fence based on the positioning information and weight information of the acquired multiple optional geo-fences; and generating recommendation information of the pre-recommended geo-fence in case that a position corresponding to the positioning information falls within the range of the pre-recommended geo-fence. The embodiments of the present disclosure can improve the recommendation accuracy.

Information recommendation method, apparatus, device and computer readable storage medium

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

An image processing method includes determining a vertical baseline and a horizontal baseline corresponding to a boundary of an eye of a user in an input image of the eye of the user, and aligning the input image based on the vertical baseline and the horizontal baseline.

Image processing method and apparatus

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 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.

Image processing method and apparatus for processing an image pair

An apparatus and method for estimating a pose of an object are provided. The apparatus includes an object input unit configured to input an object in an object tracking unit and an object identifying unit, an object tracking unit configured to obtain a tracked pose probability density of the object based on a tracking scheme, an object identifying unit configured to obtain an identified pose probability density of the object based on a training model, and a combination unit configured to obtain an estimated pose probability density of the object using a combination of the tracked pose probability density and the identified pose probability density and to estimate a pose of the object based on the estimated pose probability density of the object. Through the combination, a cumulative error occurring in the object tracking may be corrected, resulting in more accurate object estimation.

Apparatus and method for estimating pose of object

Disclosed are an apparatus, a method and a computer-readable medium automatically generating a depth map corresponding to each two-dimensional (2D) image in a video. The apparatus includes an image acquiring unit to acquire a plurality of 2D images that are temporally consecutive in an input video, a saliency map generator to generate at least one saliency map corresponding to a current 2D image among the plurality of 2D images based on a Human Visual Perception (HVP) model, a saliency-based depth map generator, a three-dimensional (3D) structure matching unit to calculate matching scores between the current 2D image and a plurality of 3D typical structures that are stored in advance, and to determine a 3D typical structure having a highest matching score among the plurality of 3D typical structures to be a 3D structure of the current 2D image, a matching-based depth map generator; a combined depth map generator to combine the saliency-based depth map and the matching-based depth map and to generate a combined depth map, and a spatial and temporal smoothing unit to spatially and temporally smooth the combined depth map.

Apparatus, method and computer-readable medium generating depth map

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Beijing, China

Xiying Wang