Abstract: Disclosed herein is an image processing apparatus for human computer interaction. The image processing apparatus includes an image processing combination unit and a combined image provision unit. The image processing combination unit generates information processed before combination using right and left input images captured by respective right and left stereo cameras. The combined image provision unit provides a combined output image combined into a single image by selecting only information desired by a user among the information processed before combination.

Abstract: Provided are a stereo vision system and a control method thereof. A stereo vision system includes an image information extracting unit receiving left and right images of the left and right stereo cameras to extract color information for a brightness control of the images from the received images, an image preprocessing unit performing a process for reducing noises of the left and right images using the color information and a prestored calibration parameter, a stereo matching unit performing stereo matching of the left and right images processed by the image preprocessing unit through an algorithm to obtain a depth map, and a matching result measuring unit receiving the depth map obtained by the stereo matching unit to measure a matching degree, and changing the prestored calibration parameter according to a result of the measurement.

Abstract: Provided is a device for improving stereo matching results.

Abstract: Provided are an apparatus and method for reconstructing 3D face avatar. The apparatus includes a face detection unit, a stereo matching unit, a bilateral filter, and a texture mapping unit. The face detection unit receives a left image and right image of a user, and detects a face image of the user from the left and right images using a face detection algorithm. The stereo matching unit receives the left and right images of the user, and creates a depth map image from the left and right images through a stereo matching operation which uses disparity between the left and right images. The bilateral filter abstracts the detected face image through a bilateral filtering operation. The texture mapping unit texture-maps the abstracted face image on the created depth map image to reconstruct a 3D avatar.

Abstract: An apparatus for reproducing sound from original source signals, has a control device, a first speaker, and a second speaker. The control device receives first and second original source signals, and controls magnitudes and phases of the received first and second original source signals so that a sound pressure level in a pre-determined zone is higher than a sound pressure level in a zone other than the pre-determined zone, and outputs first and second controlled source signals. The first speaker receives the first controlled source signal and reproduces sound. The second speaker receives the second controlled source signal and reproduces sound. The apparatus according provides a sound environment in which only the person using the sound system enjoys the sound.

Abstract: Provided are a face detection apparatus and a distance measurement method using the same. The face detection apparatus detects a face using left and right images which are acquired from a stereo camera. The face detection apparatus measures distance from the stereo camera to the face using an image frame which is provided from the stereo camera without a stereo matching process. Accordingly, the face detection apparatus simultaneously performs face detection and distance measurement even in a low-performance system.

Abstract: The present invention relates to an apparatus for reproducing sound, a method for reproducing sound, a monitor with speakers, and a mobile phone with speakers. An apparatus according to the present invention is an apparatus for reproducing sound from original source signals, and comprises a control means, a first speaker, and a second speaker. The control means receives first and second original source signals, and controls magnitudes and phases of the received first and second original source signals so that a sound pressure level in a pre-determined zone is higher than a sound pressure level in zone other than the pre-determined zone, and outputs first and second controlled source signals. The first speaker receives the first controlled source signal and reproduces sound. The second speaker receives the second controlled source signal and reproduces sound. The apparatus according to the present invention can provide the sound environment in which only the person using the sound system enjoys the sound.

Abstract: The system for detecting a face pattern from an input image includes a window extraction unit, a cost calculation unit, and a face pattern discrimination unit. The window extraction unit receives a pre-processed image corresponding to the input image to scan the preprocessed image in a certain window size, and parallelly outputs pre-processing coefficient values corresponding to the scanned pre-processed image. The cost calculation unit parallelly receives the pre-processing coefficient values corresponding to the window size, calculates cost values corresponding to the pre-processed coefficient values, and sums the cost values. The face pattern discrimination unit compares the sum of the cost values with a preset threshold value and discriminates if the pre-processed image corresponding to the window size is the face pattern.

Abstract: A system and a method for detecting a face are provided. The system includes a vision processing unit and a face detection unit. The vision processing unit calculates distance information using a plurality of images including a face pattern, and discriminates between a foreground image including the face pattern and a background image not including the face pattern, using the distance information. The face detection unit scales the foreground image according to the distance information, and detects the face pattern from the scaled foreground image.

Abstract: Provided are an image matching apparatus and method, and the image matching apparatus includes a determining unit determining whether a node, in which a first pixel of a left image of a subject and a second pixel of a right image of the subject corresponding to the first pixel are calculated, is a matchable region, and an operating unit calculating a disparity value by using the brightness information of a left window composed of the first pixel corresponding to the node and peripheral pixels surrounding the first pixel and the brightness information of a right window composed of the second pixel corresponding to the node and peripheral pixels surrounding the second pixel, when the node is the matchable region as a result of the determination.

Abstract: Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

Abstract: Provided are a stereo vision system and a control method thereof. A stereo vision system includes an image information extracting unit receiving left and right images of the left and right stereo cameras to extract color information for a brightness control of the images from the received images, an image preprocessing unit performing a process for reducing noises of the left and right images using the color information and a prestored calibration parameter, a stereo matching unit performing stereo matching of the left and right images processed by the image preprocessing unit through an algorithm to obtain a depth map, and a matching result measuring unit receiving the depth map obtained by the stereo matching unit to measure a matching degree, and changing the prestored calibration parameter according to a result of the measurement.

Abstract: A data transmission apparatus of an intelligent robot system and a method thereof are provided. The data transmission apparatus includes a vision processor collector, a communicating unit, and a controller. The vision processor collects images captured through a camera, and performs an image process on the collected image to minimize a quantity of information about unnecessary regions in the collected image. The communicating unit communicates with the robot server, transmits the processed image data from the vision processor to the robot server, and receives corresponding result data from the robot server. The controller controls the image process and the transmission of the processed image data in the vision processor, and a corresponding operation of the robot terminal performed according to result data received from the robot server.

Abstract: A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.