Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Hitachi, Ltd.

Seokhwan Jang

Seungeon Kim

Hyun Sung Chang

Duhgoon Lee

Seungin Park

Minjung Son

Jong Beom Ra

Kyoung-Yong Lee

Wonhee Lee

Toshihiro Rifu

Kihong Son

Do Il Kim

Provided is a method and apparatus for detecting a planar surface, the method including acquiring, based on a pixelwise disparity of an input image estimated in a first network, a pixelwise plane parameter of the input image, determining a pixelwise segment matching probability of the input image based on a second network trained to perform a segmentation of an image, acquiring a segment-wise plane parameter based on the pixelwise plane parameter and the pixelwise segment matching probability, and detecting a planar surface in the input image based on the segment-wise plane parameter.

Planar surface detection apparatus and method

A method and apparatus with depth map generation. The method may include generating points for a point cloud by unprojecting multi-view depth maps, of plural views, into a corresponding three-dimensional (3D) space using respective camera parameters corresponding to each view of the multi-view depth maps, extracting feature embedding vectors corresponding to the generated points, generating a two-dimensional (2D) feature map of a set view based on the extracted feature embedding vectors, generating a residual depth map using a refinement network with respect to the 2D feature map, generating a new depth map based on the residual depth map and an initial depth map, of the set view, among the multi-view depth maps.

Method and apparatus with depth map generation

A method and apparatus with feature embedding is provided. The method includes estimating a depth map for each of plural two-dimensional (2D) input images, transforming the depth maps into three-dimensional (3D) information in a point cloud form based on an aggregation of the depth maps, and generating an embedded feature by applying the 3D information to a machine learning model, where the embedded feature includes information about a 3D shape corresponding to a 2D object in the plural 2D input images.

Method and apparatus with feature embedding

A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t−1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.

Method and apparatus with video segmentation

A method with video segmentation may include: acquiring, over time, a video sequence including a plurality of image frames, the plurality of image frames including a second image frame corresponding to a time t of the video sequence and a first image frame corresponding to a time t&#x2212;1 before the time t; extracting a second feature vector from the second image frame; generating second hidden state information corresponding to the second image frame, based on first hidden state information corresponding to the first image frame and second fusion information in which the second feature vector is fused with information related to the second image frame stored in a memory; generating a second segmentation mask corresponding to the second image frame, based on an output vector corresponding to the second hidden state information; and outputting the second segmentation mask.

A medical imaging apparatus includes an X-ray source configured to irradiate X-rays to an object; an X-ray detector configured to detect the X-rays radiated from the X-ray source to obtain projection data; and an image processor configured to reconstruct the projection data based on a motion parameter representing movement of at least one of the object, the X-ray source, and the X-ray detector, and to generate a medical image by applying a weighting process to the reconstructed projection data.

Workstation, medical imaging device including same, and control method therefor

Provided are a tomography imaging apparatus and a method of reconstructing a tomography image which may more accurately measure a motion of an object to be tomography-imaged. In detail, the tomography imaging apparatus and the method of reconstructing a tomography image may obtain information indicating a motion of a moving object according to a time, may perform motion correction based on the obtained motion information, and may reconstruct a target image with reduced motion artifacts.

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Yuseong-gu, South Korea

Seokhwan Jang