Electronics and Telecommunications Research Institute

Jae-Hean Kim

Jin-Sung Choi

Bon-Ki Koo

Chang-Joon Park

Hyun Joon Kang

Hye-Mi Kim

Jong Sung Kim

Il-Kwon Jeong

Young-Mi Cha

Jung Jae Yu

Jaehwan Kim

Jin Ho Kim

Chang-Woo Chu

Jung-Jae Yu

Soon-Chul Jung

Disclosed herein are an apparatus and method for calibrating an augmented-reality image. The apparatus includes a camera unit for capturing an image and measuring 3D information pertaining to the image, an augmented-reality image calibration unit for generating an augmented-reality image using the image and the 3D information and for calibrating the augmented-reality image, and a display unit for displaying the augmented-reality image.

Apparatus and method for calibrating augmented-reality image

An apparatus and method for measuring the position of a stereo camera. The apparatus for measuring a position of the camera according to an embodiment includes a feature point extraction unit for extracting feature points from images captured by a first camera and a second camera and generating a first feature point list based on the feature points, a feature point recognition unit for extracting feature points from images captured by the cameras after the cameras have moved, generating a second feature point list based on the feature points, and recognizing actual feature points based on the first feature point list and the second feature point list, and a position variation measurement unit for measuring variation in positions of the cameras based on variation in relative positions of the actual feature points.

Apparatus and method for measuring position of stereo camera

Method and apparatus for calibrating multiple cameras. A first mirror and a second mirror are arranged opposite each other. An object is disposed between the first mirror and the second mirror. Calibration of the multiple cameras is performed using a figure of the object formed on the second mirror via reflection from the first mirror and the second mirror.

Method and apparatus for calibrating multiple cameras using mirrors

An image processing apparatus and method for calibrating a depth of a depth sensor. The image processing method may include obtaining a depth image of a target object captured by a depth sensor and a color image of the target object captured by a color camera; and calibrating a depth of the depth sensor by calibrating a geometrical relation between a projector and a depth camera, which are included in the depth sensor, based the obtained depth and color images and calculating a correct feature point on an image plane of the depth camera that corresponds to a feature point of an image plane of the projector.

Image processing method and apparatus for calibrating depth of depth sensor

A 3D scanning apparatus and method using lighting based on a smart phone. The 3D scanning apparatus includes: an image capturing unit for capturing the image of a 3D object using a camera and a lighting apparatus installed in a terminal; an image processing unit for generating a color-enhanced image corresponding to the light emitted by the lighting apparatus; and a scanning unit for scanning the 3D object in 3D by extracting a scan area from the color-enhanced image based on the light and by extracting position information corresponding to the scan area.

3D scanning apparatus and method using lighting based on smart phone

Disclosed herein is a camera calibration apparatus. The camera calibration apparatus includes an image reception unit and a camera calibration unit. The image reception unit receives images, in which a same background is captured, from respective cameras placed at locations which are different from each other. The camera calibration unit calculates an entire matrix using canonic topographies for all parallelograms located on respective surfaces which are different from each other within each of the images, and calculates infinite hymnographies between the cameras using the entire matrix at the same time.

Camera calibration apparatus and method using parallelograms in image and multi-view control

An apparatus for calibrating images between cameras, includes: a detector for detecting dynamic markers from images taken by a motion capture camera and a video camera; a 3D position recovery unit for recovering 3D position data of the dynamic markers obtained by the motion capture camera; a 2D position tracking unit for tracking 2D position data of the dynamic markers obtained by the video camera; a matching unit for matching the 3D position data and the 2D position data of the dynamic markers; and a calibrating unit for converting the 3D position of the dynamic markers on a spatial coordinate system into image coordinates on an image coordinate system of the video camera to calculate intrinsic parameters and extrinsic parameters of the video camera to minimize a difference between coordinates of the 2D position data and the image coordinates.

Apparatus and method for calibrating images between cameras

A method for restoration of building structure using infinity homographies calculated based on parallelograms includes: calculating, using two or more parallelograms, an infinity homography between those cameras which refer to an arbitrary camera; restoring cameras and the building structure on an affine space using the computed infinity homography and homologous points between images; and transforming the restored result onto the metric space using constraints on orthogonality of vectors joining the restored three-dimensional points, the ratio of lengths of the vectors and intrinsic camera parameters. As a result, intrinsic camera parameters, camera positions on the metric space and the structure of the building are restored. All the restoration is possible even when intrinsic camera parameters corresponding to all the images are not constant.

Method for restoration of building structure using infinity homographies calculated based on parallelograms

A camera tracking apparatus for calculating in real time feature information and camera motion information based on an input image includes a global camera tracking unit for computing a global feature map having feature information on entire feature points; a local camera tracking unit for computing in real time a local feature map having feature information on a part of the entire feature points; a global feature map update unit for receiving the computed feature information from the global and local camera tracking units to update the global feature map; and a local feature selection unit for receiving the updated feature information from the global feature map update unit to select in real time the feature points contained in the local feature map. The local camera tracking unit computes the local feature map for each frame, while the global camera tracking unit computes the global feature map over frames.

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Sejong, South Korea

Jae-Hean Kim