Samsung Electronics Co., Ltd.

Hyo Seok Hwang

Kyung Shik Roh

Suk June Yoon

Seung Yong Hyung

Sung Hwan Ahn

Won Jun Hwang

Jong Won Lee

Young Bo Shim

Ji Yeun Kim

Ju Suk Lee

Dong Soo Kim

Dong Kyung Nam

Du-Sik Park

Yang Ho Cho

Ji Won Kim

Woo Sup Han

Young Do Kwon

Young Ju Jeong

Soon Yong Park

Hyung Sok Yeo

Ji Hyo Lee

Sang Il Hong

Huang Xiangsheng

Seong Yong Hyung

Sang Ll Hong

Surgical trocars, and image acquisition method using the same, include a body having a passage configured to receive at least one surgical instrument, and at least one camera movably coupled to an outer wall of the body.

Surgical trocars and image acquisition method using the same

A radiographic apparatus may comprise: a radiation irradiating module configured to irradiate radiation to an object; and/or a processing module configured to automatically set a part of a region to which the radiation irradiating module is able to irradiate the radiation, to a region of interest, and further configured to determine at least one of a radiation irradiation position and a radiation irradiation zone of the radiation irradiating module based on the region of interest.

Methods of tracing regions of interest, radiographic apparatuses, methods of controlling the radiographic apparatuses, and radiography methods

Provided are a walk-assistive robot and a method of controlling the same. The method of controlling the walk-assistive robot includes: obtaining ground information that is information regarding ground a walking direction; determining control patterns of the walk-assistive robot by analyzing the obtained ground information; and controlling the walk-assistive robot based on the determined control patterns.

Walk-assistive robot and method of controlling the same

Provided are an X-ray imaging apparatus that is capable of tracking a position of an object of interest using a Kalman filter so as to reduce the amount of X-ray radiation exposure of a subject, calculating covariance indicative of accuracy of the tracing, and controlling a collimator so that the position of the object of interest and calculated covariance may be correlated with a position and an area of a region into which X-rays are radiated, and a method of controlling the X-ray imaging apparatus.

X-ray imaging apparatus and method of controlling the same

At least one example embodiment discloses an imaging apparatus that may receive input images with different viewpoints, obtain information associated with the input images, and generate a new viewpoint image based on the received input images and the obtained information and thus, reduce an information loss of the new viewpoint image for the input images.

Method and apparatus for image processing

A method of recognizing stairs in a 3D data image includes an image acquirer that acquires a 3D data image of a space in which stairs are located. An image processor calculates a riser height between two consecutive treads of the stairs in the 3D data image, identifies points located between the two consecutive treads according to the calculated riser height, and detects a riser located between the two consecutive treads through the points located between the two consecutive treads. Then, the image processor calculates a tread depth between two consecutive risers of the stairs in the 3D data image, identifies points located between the two consecutive risers according to the calculated tread depth, and detects a tread located between the two consecutive risers through the points located between the two consecutive risers.

Method of recognizing stairs in three dimensional data image

An image processing apparatus for searching for a feature point by use of a depth image and a method thereof are provided. The image processing apparatus includes an input unit configured to input a three-dimensional image having depth information, a feature point extraction unit configured to obtain a designated point from an object image extracted from the depth image to obtain a feature point that is located at a substantially farthest distance from the designated point, and to obtain other feature points that are located at substantially farthest distances from feature points that are previously obtained as well as the designated point. The apparatus includes a control unit configured to control the input unit and the feature point extraction unit so that time in estimating a structure of the object is reduced, and a recognition result is enhanced.

Image processing apparatus and method thereof

A method of separating an object in a three dimension point cloud including acquiring a three dimension point cloud image on an object using an image acquirer, eliminating an outlier from the three dimension point cloud image using a controller, eliminating a plane surface area from the three dimension point cloud image, of which the outlier has been eliminated using the controller, and clustering points of an individual object from the three dimension point cloud image, of which the plane surface area has been eliminated using the controller.

Method of separating object in three dimension point cloud

Disclosed is a camera assembly having a wide viewing angle using a variable mirror. The camera assembly includes a variable mirror located in front of an image sensor, a variable mirror controller to switch a mode of the variable mirror to one of a reflection mode to reflect light incident upon the variable mirror and a transmission mode to transmit light incident upon the variable mirror, an image sensor to sense the light reflected by the variable mirror to acquire first image data and to sense the light transmitted through the variable mirror to acquire second image data, and an image processing unit to register the first image data and the second image data acquired by the image sensor to generate a third image.

Camera assembly having a wide viewing angle and image acquisition method using the same

An object recognition method, a descriptor generating method for object recognition, and a descriptor for object recognition capable of extracting feature points using the position relationship and color information relationship between points in a group that are sampled from an image of an object, and capable of recognizing the object using the feature points, the object recognition method including extracting feature components of a point cloud using the position information and the color information of the points that compose the point cloud of the three-dimensional (3D) image of an object, generating a descriptor configured to recognize the object using the extracted feature components; and performing the object recognition based on the descriptor.

Object recognition method, descriptor generating method for object recognition, and descriptor for object recognition

A method of controlling a mobile apparatus includes acquiring a first original image and a second original image, extracting a first feature point of the first original image and a second feature point of the second original image, generating a first blurring image and a second blurring image by blurring the first original image and the second original image, respectively, calculating a similarity between at least two images of the first original image, the second original image, the first blurring image, and the second blurring image, determining a change in scale of the second original image based on the calculated similarity, and controlling at least one of an object recognition and a position recognition by matching the second feature point of the second original image to the first feature point of the first original image based on the change in scale.

Mobile apparatus and method for controlling the same

A simultaneous localization and map building method of a mobile robot including an omni-directional camera. The method includes acquiring an omni-directional image from the omni-directional camera, dividing the obtained omni-directional image into upper and lower images according to a preset reference to generate a first image, which is the lower image, and a second image, which is the upper image, extracting feature points from the first image and calculating visual odometry information calculating visual odometry information to track locations of the extracted feature points based on a location of the omni-directional camera, and performing localization and map building of the mobile robot using the calculated visual odometry information and the second image as an input of an extended Kalman filter.

Mobile robot and simultaneous localization and map building method thereof

A method of initially estimating a front view portion of a photographed image and separating the photographed image into a front view and a background without user interaction and apparatus performing the method are provided. The method of separating a front view and a background of an image includes dividing one or more pixels included in a photographed image into pixel groups according to color similarity between the pixels, estimating the position of the front view in the image divided into the pixel groups, and separating the front view and the background based on the estimated position of the front view. The method automatically separates the front view and the background of the image without a user input.

Method of separating front view and background and apparatus

An object pose recognition apparatus and method. The object pose recognition method includes acquiring first image data of an object to be recognized and 3-dimensional (3D) point cloud data of the first image data, and storing the first image data and the 3D point cloud data in a database, receiving input image data of the object photographed by a camera, extracting feature points from the stored first image data and the input image data, matching the stored 3D point cloud data and the input image data based on the extracted feature points and calculating a pose of the photographed object, and shifting the 3D point cloud data based on the calculated pose of the object, restoring second image data based on the shifted 3D point cloud data, and re-calculating the pose of the object using the restored second image data and the input image data.

Object pose recognition apparatus and object pose recognition method using the same

A character recognition device to recognize characters after preprocessing an input image corrects distortion. The character recognition device includes an image input unit to receive an image acquired by an image device, a character position estimator to calculate a probability value of a position of characters of the image to estimate the position of the characters, an image preprocessor to detect a plurality of edges including the characters from the image and to correct distortion of the edges, and a character recognizer to recognize the characters included in a rectangle formed by the plurality of edges.

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Seoul, South Korea

Hyo Seok Hwang