Samsung Electronics Co., Ltd.

University of Seoul Industry Cooperation Foundation

Osong Medical Innovation Foundation, Korea University Research and Business Foundation

Yongkyu Kim

Hongseok Lee

Hojung Kim

Kichul Kim

Hoon Song

Myungjae Jeon

SeongJoong Kim

Hwi Dae Kim

Young-Jun Hong

Jongha Park

Chang-soon Park

Donggeun Lee

Seok-Ju Yun

Hyekwan Yun

Young Jun Hong

Jinsu Kim

Seok Ju Yun

Namseop Kwon

Hyunsik Park

Sungwon Kwon

San Ha Kim

HoJung Kim

San Kim

Hyunwook Ji

An apparatus for accelerating simultaneous localization and mapping (SLAM) includes a SLAM processor including a front-end processor and a back-end processor. The front-end processor is configured to track a position of a first feature, among features extracted from a first frame, in a second frame subsequent to the first frame, and the back-end processor is configured to obtain a first measurement regarding a map point and a camera pose of the first feature based on the position of the first feature in the second frame tracked by the front-end processor, compute elements affecting an optimization matrix in relation to the first measurement, among elements of a Hessian matrix regarding the map point and the camera pose, and accumulate the computed elements in the optimization matrix used to perform an optimization operation with respect to states of the map point and the camera pose.

Apparatus for accelerating simultaneous localization and mapping and electronic device including the same

A method for processing a three-dimensional holographic image includes obtaining depth images from depth data of a three-dimensional object, dividing each of the depth images into a predetermined number of sub-images, obtaining interference patterns of computer-generated hologram (CGH) patches corresponding to each of the sub-images by performing a Fourier transform to calculate an interference pattern in a CGH plane for object data included in each of the sub-images, and generating a CGH for the three-dimensional object using the obtained interference patterns of the CGH patches.

Method and apparatus for processing three-dimensional holographic image

Provided is an accelerator provided in an electronic device and configured to perform simultaneous localization and mapping (SLAM), the accelerator including a factor graph database, a memory, and a back-end processor, wherein the back-end processor is configured to receive a first piece of data corresponding to map points and camera positions from the factor graph database, convert the received first piece of data into a matrix for the map points and a matrix for the camera positions, store, in the memory, results obtained by performing an optimization calculation on the matrix for the map points and a matrix for at least one camera position, among the camera positions, corresponding to the map points, and obtain a second piece of data optimized with respect to the first piece of data based on the results stored in the memory.

Method for performing simultaneous localization and mapping and device using same

A preconditioned conjugate gradient (PCG) solver, embedded in an electronic device to perform a simultaneous localization and mapping (SLAM) operation, includes an image database, a factor graph database, and a back-end processor, wherein the back-end processor is configured to receive an image from the image database to perform re-localization, receive, from the factor graph database, data for calculating six degrees of freedom (DoF)-related components, construct a matrix including the six degrees of freedom-related components based on the received data, and load and rearrange the matrix and a vector, to perform calculation on each block of each row of the matrix and the vector, then output first data, and shift second data to a location of the first data.

Method of accelerating simultaneous localization and mapping (SLAM) and device using same

A method for processing a three-dimensional (3D) image includes acquiring a frame of a color image and a frame of a depth image, and generating a frame by combining the acquired frame of the color image with the acquired frame of the depth image. The generating of the frame includes combining a line of the color image with a corresponding line of the depth image.

Method and apparatus for processing three-dimensional (3D) image

A method and apparatus for processing hologram image data capable of optimizing image quality of a hologram image are provided. The image processing method includes receiving input image data, reading a header included at a predetermined location in the input image data, and generating hologram data configured to display a hologram image by performing a Fourier calculation and pixel encoding on the input image data based on at least one parameter recorded in the header, wherein the at least one parameter recorded in the header includes at least one of depth information, scale information, and gamma information.

Method and apparatus for processing hologram image data

An image processing method and apparatus are provided. The image processing apparatus includes a receiver configured to receive image data; and a processor configured to generate first data by performing a Fourier calculation on the received image data, generate second data by performing prism phase computation on the first data, generate third data by adding the first data and the second data, and perform encoding based on the third data.

With regard to image data processing, a method of obtaining a focus term by using periodicity of the focus term is provided. The focus term may be used in a plurality of operation processes for processing image data.

Image data processing method and apparatus

A method and apparatus for processing image data are provided. An image data processing apparatus includes: a receiver configured to receive image data that represents a current frame; and a processor configured to perform an inverse fast Fourier Transform (IFFT) computation with respect to a first region of the current frame, and to obtain an IFFT computation result with respect to a second region of the current frame by using a result of the IFFT computation with respect to the first region.

Apparatus and method of processing image data using IFFT

A method of obtaining a focus term by using a periodicity of the focus term is provided. The focus term may be used in a plurality of operation processes for processing image data.

An image processing system for processing image data includes an image processing apparatus configured to process the image data to generate a hologram image; and a first memory and a second memory that store the image data. The image processing apparatus performs a first process and a second process in parallel, wherein the first process includes reading first data from the first memory and writing the first data to the second memory, and the second process includes reading second data from the second memory and writing the second data to the first memory.

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Hwaseong-si, South Korea

Yongkyu Kim