Samsung Electronics Co., Ltd.

Dong-ryeol Park

Seok-won Bang

Hyoung-ki Lee

Dong-Jo Kim

Jun-Ho Park

Yeon-ho Kim

Joon-Kee Cho

Woo-Yeon Jeong

Seung-Nyung Chung

Young-jin Hong

Myung-Jin Jung

Hyung-joo Kim

Hyong-ki Lee

Hyoung-Ki Lee

Seok-Won Bang

Provided is a method of correcting a medical image according to a patient's pose variation. The method includes attaching a marker to an object, generating a first non-real-time image and a first real-time image when the object is in a first pose, generating a second real-time image when the object is in a second pose, and correcting the first non-real-time image based on shift information of the marker when the object is changed from the first pose to the second pose.

Method, apparatus, and system for correcting medical image according to patient's pose variation

A three-dimensional map-generating apparatus and method using structured light. The apparatus for generating a three-dimensional map using structured light includes an odometer detecting the pose of a mobile robot, and a distance-measuring sensor including a light source module that emits light upward and a camera module that captures an image formed by light reflected from an obstacle, and measuring a distance to the obstacle using the captured image. The apparatus measures a distance to the obstacle using the distance-measuring sensor while changing the relative pose of the mobile robot, thereby generating a three-dimensional map.

Apparatus and method for generating three-dimensional map using structured light

A face detection apparatus and method are provided. The apparatus may acquire a distance difference image through a stereo camera and create an object mask using the distance difference image to detect a face candidate area. The apparatus may also determine a size of a search window using the distance difference image and detect a facial area in the face candidate area. Accordingly, an operation speed for face detection can be improved.

Apparatus and method for detecting face

An apparatus and method capable of calculating a coordinate transformation parameter without having to utilize a rig are provided. The apparatus and method extract a first feature point based on a plane of first data, project the first feature point onto second data and then extract a second feature point from a part of the second data onto which the first feature point is projected. Then, calibration is performed based on the extracted feature points. Therefore, it is possible to perform calibration immediately as necessary without having to utilize a separate device such as a rig.

Apparatus and method with composite sensor calibration

Technology for creating a feature map for localizing a mobile robot and extracting feature information of surroundings is provided. According to one aspect, feature information including a reflection function is extracted from information acquired using a 3D distance sensor and used as a basis for creating a feature map. Thus, a feature map that is less sensitive to change in the surrounding environment can be created, and a success rate of feature matching can be increased.

Apparatus and method for extracting feature information of object and apparatus and method for creating feature map

A data input apparatus, medium, and method detecting a selected data key input. The data input apparatus may include an image output module, an image input module, and a control module, with the image output module generating an input image having a predetermined number of input keys for the input of data. The image input module may capture the generated input image, and the control module may then binarize the captured images of the respective input keys, e.g., using a predetermined threshold value. Accordingly, the proper selection of input keys can be determined by comparing the binarized images with previously stored binarized images.

Data input apparatus, medium, and method detecting selective data input

Provided are an apparatus and method of measuring a distance using structured light. The apparatus includes a binarization unit binarizing an image, an image identification unit identifying an image having connected pixels in the binarized image, a length ratio calculation unit obtaining the length ratio of the major axis of the image having the connected pixels to a minor axis perpendicular to the major axis, a pixel mean calculation unit obtaining the mean of pixel values of the image having the connected pixels, and an image extraction unit extracting an image formed by the light irradiated from the light source, from the images having connected pixels using the length ratio and the mean of the pixel values.

Apparatus and method of measuring distance using structured light

A method, apparatus, and medium for correcting a pose of a moving robot are provided. The method includes sensing an entrance using a distance-sensing sensor mounted on the moving robot, storing first distance data of the sensed entrance, after the moving robot travels, newly sensing the entrance using the distance-sensing sensor, and correcting the pose of the moving robot using the first distance data and second distance data corresponding to the entrance newly sensed after the moving robot travels.

Method, medium, and apparatus for correcting pose of moving robot

A system, a method, and medium for detecting a moving object using a structured light, and a mobile robot including the system are provided. The system includes an image obtaining unit to obtain a first image at a predetermined position and a second image at a position after a movement of the system by using a light source; an image predicting unit to predict the second image at the position after the movement of the system by using the first image and information with respect to the movement of the system; and a comparing/analyzing unit to compare and analyze the second image obtained by the image obtaining unit and the second image predicted by the image predicting unit.

System, method, and medium for detecting moving object using structured light, and mobile robot including system thereof

A dust detection method and apparatus of a cleaning robot. The dust detection method involves acquiring a floor image as a current floor image of a predetermined place at a current location of the cleaning robot in the predetermined place; obtaining a difference image between the current floor image and a background image selected from a feature map consisting of a plurality of floor images of the predetermined place; and detecting a dusty area based on the difference image and adjusting a cleaning power of the cleaning robot.

Dust detection method and apparatus for cleaning robot

A method and apparatus for processing a line pattern using a convolution kernel. An apparatus for processing a line pattern, the apparatus including a light source module radiating predetermined light and a camera module capturing an image of an object, onto which the light is radiated, the apparatus processing a line pattern included in the captured image, includes: a kernel learning unit determining a kernel shape and an optimal threshold value with respect to each vertical interval of the image using a simple line pattern formed at a predetermined location; a convolution application unit applying convolution to a captured test image using the determined kernel shape and optimal threshold value; and a region selection unit scanning each pixel column in the image, to which the convolution is applied, in a vertical direction, and setting pixel values of pixel groups other than a selected pixel group to 0 when a plurality of pixel groups having pixel values other than 0 exists.

Method and apparatus for processing line pattern using convolution kernel

A system and method for extracting a corner point in a space using pixel information obtained from a camera are provided. The corner point extracting system includes a light generation module emitting light in a predetermined form (such as a plane form), an image acquisition module acquiring an image of a reflector reflecting the light emitted from the light generation module, and a control module obtaining distance data between the light generation module and the reflector using the acquired image and extracting a corner point by performing split-merge using a threshold proportional to the distance data. The threshold is a value proportional to the distance data which corresponds to pixel information of the image acquisition module.

System and method for extracting corner point in space using pixel information, and robot using the system

Disclosed herein is a mobile robot, and system and method for autonomous navigation of the same. The mobile robot includes a communications module for transmitting a light source control signal to selectively control light sources of a landmark array to flicker, an image processing module for calculating image coordinates of the light sources from an image signal, a pose calculation module for calculating position coordinates of the mobile robot, a motion control module for calculating a moving path and controlling the mobile robot to move along the moving path, and a main control module for controlling interoperations of the modules and general operations of the mobile robot.

Mobile robot, and system and method for autonomous navigation of the same

A method of detecting an object using a structured light and a robot using the same are disclosed. The method of detecting a floor object using a structured light includes measuring a height difference of a position onto which a specified structured light is projected with a reference position, and detecting the floor object using the measured height difference.

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Hwaseong-si, South Korea

Dong-ryeol Park