Abstract: 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.

Abstract: 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.

Abstract: A surgical robot system includes a slave system to perform a surgical operation on a patient and an imaging system that includes an image capture unit including a plurality of cameras to acquire a plurality of affected area images, an image generator detecting an occluded region in each of the affected area images acquired by the plurality of cameras, removing the occluded region therefrom, warping each of the affected area images from which the occluded region is removed, and matching the affected area images to generate a final image, and a controller driving each of the plurality of cameras of the image capture unit to acquire the plurality of affected area images and inputting the acquired plurality of affected area images to the image generator to generate a final image.

Abstract: A mobile apparatus and a localization method thereof which perform localization of the mobile apparatus using a distributed filter system including a plurality of local filters independently operated and one fusion filter integrating results of localization performed through the respective local filters, and additionally apply accurate topological absolute position information to the distributed filter system to improve localization performance (accuracy, convergence and speed in localization, etc.) of the mobile apparatus on a wide space. The mobile apparatus includes at least one sensor, at least one first distribution filter generating current relative position information using a value detected by the at least one sensor, at least one second distribution filter generating current absolute position information using the value detected by the at least one sensor, and a fusion filter integrating the relative position information and the absolute position information to perform localization.

Abstract: A method of tracking a moving object includes measuring displacement of an object to be tracked, obtaining a particle of the object to be tracked using the measured displacement, and tracking the object using pose information of the object in an image thereof and the obtained particle. A control apparatus includes an imaging module to perform imaging of an object and generates an image, and a tracking unit to acquire displacement and pose information of the object using the generated image of the object, to set a particle of the object using the acquired displacement of the object, and to track the object using the pose information of the object and the particle.

Abstract: 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.

Abstract: A robot and a method for creating a robot path. The method for planning the robot path includes generating a depth map including a plurality of cells by measuring a distance to an object, dividing a boundary among the plurality of cells into a plurality of partitions according to individual depth values of the cells, and extracting a single closed loop formed by the divided boundary, obtaining a position and shape of the object located at a first time through the extracted single closed loop, calculating a probability that the object is located at a second time after t seconds on the basis of the obtained position and shape of the object located at the first time, and creating a moving path simultaneously while avoiding the object according to the calculated probability, thereby creating an optimum path without colliding with the object.

Abstract: A robot control method of controlling a robot that has a flexible module including ‘n’ first nodes participating in pan motion and ‘n’ second nodes participating in tilt motion may include: measuring a translational motion distance, a pan motion angle, and a tilt motion angle of the flexible module; calculating state vectors of the ‘n’ first nodes and the ‘n’ second nodes using the measured translational motion distance; calculating operating angle distribution rates of the ‘n’ first nodes and operating angle distribution rates of the ‘n’ second nodes using the calculated state vectors of the ‘n’ first nodes and the calculated state vectors of the ‘n’ second nodes; and/or calculating operating angles of the ‘n’ first nodes and operating angles of the ‘n’ second nodes using the calculated operating angle distribution rates and the measured pan motion angle and tilt motion angle.

Abstract: A moving robot and a method to build a map for the same, wherein a 3D map for an ambient environment of the moving robot may be built using a Time of Flight (TOF) camera that may acquire 3D distance information in real time. The method acquires 3D distance information of an object present in a path along which the moving robot moves, accumulates the acquired 3D distance information to construct a map of a specific level and stores the map in a database, and then hierarchically matches maps stored in the database to build a 3D map for a set space. This method may quickly and accurately build a 3D map for an ambient environment of the moving robot.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for estimating a location of a device uses a color image and a depth image. The method includes matching the color image to the depth image, generating a 3D reference image based on the matching, generating a 3D object image based on the matching, extracting a 2D reference feature point from the reference image, extracting a 2D reference feature point from the object image, matching the extracted reference feature point from the reference image to the extracted reference feature point from the object image, extracting a 3D feature point from the object image using the matched 2D reference feature point, and estimating the location of the device based on the extracted 3D feature point.

Abstract: A robot control method of controlling a robot that has a flexible module including ‘n’ first nodes participating in pan motion and ‘n’ second nodes participating in tilt motion may include: measuring a translational motion distance, a pan motion angle, and a tilt motion angle of the flexible module; calculating state vectors of the ‘n’ first nodes and the ‘n’ second nodes using the measured translational motion distance; calculating operating angle distribution rates of the ‘n’ first nodes and operating angle distribution rates of the ‘n’ second nodes using the calculated state vectors of the ‘n’ first nodes and the calculated state vectors of the ‘n’ second nodes; and/or calculating operating angles of the ‘n’ first nodes and operating angles of the ‘n’ second nodes using the calculated operating angle distribution rates and the measured pan motion angle and tilt motion angle.

Abstract: A walking robot and a simultaneous localization and mapping method thereof in which odometry data acquired during movement of the walking robot are applied to image-based SLAM technology so as to improve accuracy and convergence of localization of the walking robot. The simultaneous localization and mapping method includes acquiring image data of a space about which the walking robot walks and rotational angle data of rotary joints relating to walking of the walking robot, calculating odometry data using kinematic data of respective links constituting the walking robot and the rotational angle data, and localizing the walking robot and mapping the space about which the walking robot walks using the image data and the odometry data.

Abstract: A marker includes a basal surface, and a plurality of reference lines provided at the basal surface in a longitudinal direction of the basal surface. The reference lines may have different gradients. The marker may be attached to an instrument and a camera may capture an image of the marker. Pose information of the instrument may be estimated based on the captured image.

Abstract: A surgical robot system includes a slave system to perform a surgical operation on a patient and an imaging system that includes an image capture unit including a plurality of cameras to acquire a plurality of affected area images, an image generator detecting an occluded region in each of the affected area images acquired by the plurality of cameras, removing the occluded region therefrom, warping each of the affected area images from which the occluded region is removed, and matching the affected area images to generate a final image, and a controller driving each of the plurality of cameras of the image capture unit to acquire the plurality of affected area images and inputting the acquired plurality of affected area images to the image generator to generate a final image.

Abstract: Disclosed herein are a feature point used to localize an image-based robot and build a map of the robot and a method of extracting and matching an image patch of a three-dimensional (3D) image, which is used as the feature point. It is possible to extract the image patch converted into the reference image using the position information of the robot and the 3D position information of the feature point. Also, it is possible to obtain the 3D surface information with the brightness values of the image patches to obtain the match value with the minimum error by a 3D surface matching method of matching the 3D surface information of the image patches converted into the reference image through the ICP algorithm.

Abstract: A method of tracking a moving object includes measuring displacement of an object to be tracked, obtaining a particle of the object to be tracked using the measured displacement, and tracking the object using pose information of the object in an image thereof and the obtained particle. A control apparatus includes an imaging module to perform imaging of an object and generates an image, and a tracking unit to acquire displacement and pose information of the object using the generated image of the object, to set a particle of the object using the acquired displacement of the object, and to track the object using the pose information of the object and the particle.