Abstract: An augmented reality image display system may be implemented together with a surgical robot system. The surgical robot system may include a slave system performing a surgical operation, a master system controlling the surgical operation of the slave system, an imaging system generating a virtual image of the inside of a patient's body, and an augmented reality image display system including a camera capturing a real image having a plurality of markers attached to the patient's body or a human body model. The augmented reality image system may include an augmented reality image generator which detects the plurality of markers in the real image, estimates the position and gaze direction of the camera using the detected markers, and generates an augmented reality image by overlaying a region of the virtual image over the real image, and a display which displays the augmented reality image.

Abstract: A method for operating a device in a wireless communication system supporting Device to Device (D2D) communication system includes receiving a reference signal from each of at least one transmitting device, estimating a frequency offset between the reference signals and a comparison reference signal corresponding to the reference signals, and adjusting a transmit frequency of a voltage controlled oscillator of the device using the estimated frequency offset estimation. An apparatus for compensating for a frequency offset of a device in a wireless communication system supporting Device to Device (D2D) communication system includes a frequency offset estimator configured to receive reference signals from each of at least one transmitting device, and estimating a frequency offset between the reference signals and a comparison reference signal corresponding to the reference signals, and a voltage controlled oscillator configured to adjust a transmit frequency using the estimated frequency offset.

Abstract: A face recognition apparatus and method. Sub-images having different face sizes are generated using a received face image of a person to be identified. Feature vectors of the sub-images are generated and observation nodes are generated based on the feature vectors. The observation nodes corresponding to the sub-images are compared with stored reference nodes of sub-images of a registered person on a face size by face size basis to calculate similarity scores between the observation nodes and the reference nodes. State nodes are generated based on the respective similarity scores of the face sizes, the observation and state nodes are compared, and the state nodes are compared to perform face recognition. This improves face recognition performance and face recognition speed. Face recognition performance robust to facial expression variation or type information is achieved by performing I-shaped curvature Gabor filtering on a plurality of sub-images based on the eye distance.

Abstract: Disclosed herein are an endoscope system and a control method thereof. The control method includes acquiring plural omnidirectional images of the surroundings of an endoscope using a stereo omnidirectional camera mounted on the endoscope, calculating distances between the endoscope and an object around the endoscope using the acquired plural omnidirectional images, and executing an operation to avoid collision between the endoscope and the object around the endoscope based on the calculated distances, thus facilitating safe operation of the endoscope.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: A 3D object tracking method and apparatus in which a model of an object to be tracked is divided into a plurality of polygonal planes and the object is tracked using texture data of the respective planes and geometric data between the respective planes to enable more precise tracking. The 3D object tracking method includes modeling the object to be tracked to generate a plurality of planes, and tracking the plurality of planes, respectively. The modeling of the object includes selecting points from among the plurality of planes, respectively, and calculating projective invariants using the selected points.

Abstract: Disclosed is an image processing apparatus, method and computer-readable medium of a robot which efficiently manage a moving image acquired by the robot and reinforce security to prevent image leakage. In order to restore an object region within an original image photographed by the robot, a low-resolution image is generated using object password information and the original image to generate image information, and the image information is transmitted to a server over a network. The server detects the object password information and the low-resolution information from the image information and restores a high-resolution object image using the object password information and the low-resolution image.

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: An apparatus and a method for pose recognition, the method for pose recognition including generating a model of a human body in a virtual space, predicting a next pose of the model of the human body based on a state vector having an angle and an angular velocity of each part of the human body as a state variable, predicting a depth image about the predicted pose, and recognizing a pose of a human in a depth image captured in practice, based on a similarity between the predicted depth image and the depth image captured in practice, wherein the next pose is predicted based on the state vector having an angular velocity as a state variable, thereby reducing the number of pose samples to be generated and improving the pose recognition speed.

Abstract: Provided are a wireless communication system and a method of performing communication in the same. The wireless communication system includes a terminal configured to classify all subcarriers into a first group and a second group and allocate subcarriers of the first group to first symbols and subcarriers of the second group to the first symbols again to generate and transmit a first transmission signal, a base station configured to allocate the subcarriers of the first group to second symbols and the subcarriers of the second group to third symbols to generate and transmit a second transmission signal, and a relay configured to receive the first and second transmission signals and perform maximum likelihood (ML) determination of frequency domain signals of the first and second transmission signals to estimate the first to third symbols.

Abstract: A face recognition apparatus and method. Sub-images having different face sizes are generated using a received face image of a person to be identified. Feature vectors of the sub-images are generated and observation nodes are generated based on the feature vectors. The observation nodes corresponding to the sub-images are compared with stored reference nodes of sub-images of a registered person on a face size by face size basis to calculate similarity scores between the observation nodes and the reference nodes. State nodes are generated based on the respective similarity scores of the face sizes, the observation and state nodes are compared, and the state nodes are compared to perform face recognition. This improves face recognition performance and face recognition speed. Face recognition performance robust to facial expression variation or type information is achieved by performing I-shaped curvature Gabor filtering on a plurality of sub-images based on the eye distance.

Abstract: A method and system of restoring an image using a frequency-based image model is provided. A method of restoring an image using a frequency-based image model, the method including: transforming an original image into a frequency domain and generating a transformation image; copying the transformation image in any one domain of domains in which the original image is extended and which are divided into blocks; and inferring a high frequency component of block domains, and restoring the block using the transformation image copied in the any one domain.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: A 3D object tracking method and apparatus in which a model of an object to be tracked is divided into a plurality of polygonal planes and the object is tracked using texture data of the respective planes and geometric data between the respective planes to enable more precise tracking. The 3D object tracking method includes modeling the object to be tracked to generate a plurality of planes, and tracking the plurality of planes, respectively. The modeling of the object includes selecting points from among the plurality of planes, respectively, and calculating projective invariants using the selected points.

Abstract: A method and apparatus to generate an object descriptor using extended curvature gabor filters. The method and apparatus may increase a recognition rate of even a relatively small image with use of an extended number of curvature gabor filters having controllable curvatures and may reduce the amount of calculation required for face recognition by performing the face recognition using only some of the extended curvature gabor filters which have a great effect on the recognition rate. The object descriptor generating method includes extracting gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image, and generating an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector.

Abstract: Provided are a method and apparatus for extracting facial features from an image containing a face. The method and apparatus filter an input image using a filter set for face recognition at each of predetermined locations in the input image, merge values obtained by filtering the input image at locations, which are horizontally symmetrical to each other with respect to the center of the face, and synthesize values obtained by filtering the input image at locations which are not symmetrical to each other with respect to the center of the face with the merged values. Therefore, the time, feature values, and storage space required to extract or compare facial features can be significantly reduced. In addition, a face recognition system that runs well on low specification hardware can be implemented.

Abstract: Provided are a wireless communication system and a method of performing communication in the same. The wireless communication system includes a terminal configured to classify all subcarriers into a first group and a second group and allocate subcarriers of the first group to first symbols and subcarriers of the second group to the first symbols again to generate and transmit a first transmission signal, a base station configured to allocate the subcarriers of the first group to second symbols and the subcarriers of the second group to third symbols to generate and transmit a second transmission signal, and a relay configured to receive the first and second transmission signals and perform maximum likelihood (ML) determination of frequency domain signals of the first and second transmission signals to estimate the first to third symbols.

Abstract: A robot system rapidly performs a motion based on a gesture recognized from a user and achieves a smooth interface with the user. The system receives a gesture input by a user, and sets a position of a first gesture as a reference position, if the gesture input by the user is recognized as the first gesture. The system also judges a moving direction of a second gesture from the reference position if the gesture input by the user is recognized as the second gesture. The system recognizes a command instructing a robot to perform a motion corresponding to the judged moving direction.

Abstract: Disclosed is an image processing apparatus, method and computer-readable medium of a robot which efficiently manage a moving image acquired by the robot and reinforce security to prevent image leakage. In order to restore an object region within an original image photographed by the robot, a low-resolution image is generated using object password information and the original image to generate image information, and the image information is transmitted to a server over a network. The server detects the object password information and the low-resolution information from the image information and restores a high-resolution object image using the object password information and the low-resolution image.

Abstract: A method and system of restoring an image using a frequency-based image model is provided. A method of restoring an image using a frequency-based image model, the method including: transforming an original image into a frequency domain and generating a transformation image; copying the transformation image in any one domain of domains in which the original image is extended and which are divided into blocks; and inferring a high frequency component of block domains, and restoring the block using the transformation image copied in the any one domain.