Samsung Electronics Co., Ltd.

Aarhus Universitet

Minsu Ahn

Hyong Euk Lee

Inwoo Ha

Seungin Park

Jiyeon Kim

Sunghoon Hong

Young Hun Sung

Qiang Wang

Yang Liu

Hao Wang

Weiming Li

Minjung Son

Yueying Kao

Zairan Wang

Dongdong Yu

Lin Ma

Chun Long Wang

Keechang Lee

Soojung Ryu

Zhihua Liu

Sangoak Woo

Heesae Lee

Huijin Lee

Guangwei Wang

Tianhao Gao

Haewoo Park

Changmoo Kim

Hyongeuk Lee

Sung H Hong

Geeyoung Sung

Hyungjin Kim

Wonhee Lee

Jinyong Choi

Reum Oh

Joon-Young Park

Yun-tae Kim

Seungjun Bae

In Woo Ha

Yoon-Joo Eom

Yonghun Kim

Yongjun Kim

Hong-Seok Lee

Jacob Toft Pedersen

Hachisuka Toshiya

Hyoung Euk Lee

Inwoon Ha

A semiconductor device includes a cell area in which a plurality of memory cells are arranged in an array structure, and a peripheral area in which circuits configured to drive the memory cells are arranged, the peripheral area being next to the cell area. The cell area is divided into a plurality of banks, and the plurality of banks comprise first banks having a base size and second banks having a size of 1/(2*n) (wherein n is an integer greater than or equal to 1) of the base size. The plurality of banks are arranged in a first direction and a second direction perpendicular to the first direction, and the semiconductor device has a shape of a rectangular chip which is elongated in the second direction.

Semiconductor device and semiconductor package including the semiconductor device

Disclosed is a subject recognizing apparatus and method. The method may include extracting feature points from a target image, respectively measuring movement information of each of a plurality of the extracted feature points, selectively grouping the extracted feature points into one or more groups based on the respectively measured movement information, determining a type of subject present in at least one group of the one or more groups based on at least a portion of the subject present in the at least one group, and recognizing a subject included in the target image based on the determined type of subject.

Subject recognizing method and apparatus

A stereo matching method includes extracting feature points of a first image and feature points of a second image, the first image and the second image together constituting a stereo image, determining reference points by matching the feature points of the second image to the feature points of the first image, classifying the reference points, and performing stereo matching on pixels of which disparities are not determined in the first image and the second image based on disparities of the reference points in the pixels determined based on a result of the classifying.

Stereo matching method and apparatus

An image processing apparatus includes a first processor configured to obtain, from a color image, an illumination element image and an albedo element image corresponding to the color image, and a second processor configured to divide the illumination element image into a plurality of subelement images each corresponding to the color image.

Image processing apparatus and method

A three-dimensional (3D) object transmission method and apparatus is disclosed, where the 3D object transmission method includes determining a transmission mesh level for each region of a mesh corresponding to a 3D object that is segmented into regions, identifying boundary regions and non-boundary regions from among the regions, transmitting a vertex based on a transmission mesh level of a corresponding non-boundary region for each of the non-boundary regions, and transmitting a number of vertices in a preset order based on a first transmission mesh level of at least one neighboring region forming a boundary with a corresponding boundary region for each of the boundary regions.

Method and apparatus for transmitting three-dimensional objects

A display method includes displaying, in a virtual environment, an object to which a light source is set. The method further includes illuminating an area around the object based on the light source.

Device and method to display object with visual effect

An apparatus for recommending a customer item identifies a purchase tendency of a customer based on an image, determines a recommended item for the customer by selecting a purchase tendency model corresponding to the purchase tendency, and provides information associated with the determined recommended item.

Method and apparatus for recommending customer item based on visual information

An image processing method and apparatus is disclosed. The image processing method includes receiving an input image and estimating a depth of a target based on a position, a size, and a class of the target in the input image.

Image processing method and apparatus

A method of refining a depth image includes extracting shading information of color pixels from a color image, and refining a depth image corresponding to the color image based on surface normal information of an object included in the shading information.

Method and apparatus for refining depth image

Disclosed is a method and apparatus for detecting a road line includes segmenting a driving image data into a plurality of segmentation areas, determining a candidate vanishing-point area corresponding to a segmentation area of the segmentation areas, extracting at least one straight road line from the segmentation area, detecting a partial line corresponding to the segmentation area based on whether the at least one straight road line meets the candidate vanishing-point area, detecting the road line of the driving image data by connecting partial lines corresponding to the segmentation areas, and indicating the detected road line.

Method and apparatus with road line detection

A method and device that estimate a pose of a device and the device are disclosed. The method may include generating inertial measurement unit (IMU) data of the device, determining a first pose of the device a first time point based on the IMU data, generating a current predicted motion state array based on the IMU data, and estimating an M-th predicted pose of the device at an M-th time point after the first time point based on the current predicted motion state array, where M denotes a natural number greater than 1.

Device and method with pose estimator based on current predicted motion state array

Provided is a stereo matching method and apparatus. A stereo matching method includes acquiring detection information based on an edge detection of a first image, determining an edge line and a feature point based on the detection information, sampling a reference pixel from the edge line and the feature point, determining a polygon with the reference pixel as a vertex, predicting a search range comprising a disparity of a pixel within the polygon based on a disparity of the reference pixel, and performing stereo matching of the pixel based on the search range.

Method and apparatus for stereo matching

Disclosed are a pose estimation methods and apparatuses of displaying a virtual object using an estimated pose. The pose estimation method includes receiving an input image and estimating pose information of an object from the input image based on local information of the object.

Pose estimation method, method of displaying virtual object using estimated pose, and apparatuses performing the same

Disclosed is a method and apparatus for determining a lane, the method including extracting plural straight-line segments from a captured stereo image including a first image and a second image of a driving road, selecting a first lane from the stereo image based on line segments of the plural straight-line segments, corresponding to lanes of the driving road, predicting a second lane candidate, based on the first lane, including at least a portion of a lane area excluding the line segments in the stereo image, and determining a second lane by updating a position of the predicted second lane candidate based on a confidence value of the predicted second lane candidate.

Method and apparatus with lane determination

Disclosed is an object pose estimating method and apparatus. The pose estimating method includes acquiring a two-dimensional (2D) image corresponding to an object, extracting a global visual feature and a local geometric feature of the object in the 2D image, and estimating a three-dimensional (3D) pose of the object based on the global visual feature and the local geometric feature.

Object pose estimating method and apparatus

Growing community of inventors

Yongin-si, South Korea

Minsu Ahn