Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.

Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.

Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.

Abstract: Disclosed herein are a method for analyzing heavy metal removal efficiency using phase difference analysis and an apparatus using the method. The method for analyzing heavy metal removal efficiency using phase difference analysis includes applying a magnetic field to a magnetite onto which a heavy metal is adsorbed, based on a first solenoid coil and a second solenoid coil that have an identical winding direction, applying a high-frequency signal to the magnetite, based on a third solenoid coil having a winding direction that differs from that of the first solenoid coil and the second solenoid coil, detecting a high-frequency signal transformed by the magnetite, and calculating a phase difference between a previously detected default high-frequency signal and the transformed high-frequency signal, and analyzing an efficiency of heavy metal removal by the magnetite by measuring a concentration of the heavy metal based on the phase difference.

Abstract: Disclosed herein are a signal transmission/reception method for signal analysis in FMMD technology and an apparatus using the method. A signal transmission apparatus includes a signal generation unit for generating two sine wave signals having different frequencies in consideration of a voltage of an excitation coil included in a magnetic particle measurement sensor, a signal addition unit for generating an input signal for producing a magnetic field by electronically adding the two sine wave signals, a differential signal generation unit for generating a differential signal for the input signal to minimize transmission noise, and a signal transmission unit for amplifying voltages of the input signal and the differential signal and transmitting the amplified input signal and differential signal to the excitation coil so as to produce a magnetic field in the excitation coil and apply the magnetic field to a measurement target sample.

Abstract: There are provided a stereo matching method capable of increasing a resolution and precision of an object and a device for performing the method. The method includes investigating a pattern according to a predetermined period; obtaining left and right stereo images in which the investigated pattern is included or not included; determining whether each of the stereo image obtained according to the predetermined period and a buffering image that is a previous frame image of the stereo image includes the pattern; and generating a final cost volume by performing different image processing according to whether each of the stereo image and the buffering image includes the pattern. Therefore, it is possible to increase precision of a disparity of a thin object and increase accuracy and precision of an object at a long distance.

Abstract: Disclosed herein are a signal transmission/reception method for signal analysis in FMMD technology and an apparatus using the method. A signal transmission apparatus includes a signal generation unit for generating two sine wave signals having different frequencies in consideration of a voltage of an excitation coil included in a magnetic particle measurement sensor, a signal addition unit for generating an input signal for producing a magnetic field by electronically adding the two sine wave signals, a differential signal generation unit for generating a differential signal for the input signal to minimize transmission noise, and a signal transmission unit for amplifying voltages of the input signal and the differential signal and transmitting the amplified input signal and differential signal to the excitation coil so as to produce a magnetic field in the excitation coil and apply the magnetic field to a measurement target sample.

Abstract: Disclosed herein are a method for analyzing heavy metal removal efficiency using phase difference analysis and an apparatus using the method. The method for analyzing heavy metal removal efficiency using phase difference analysis includes applying a magnetic field to a magnetite onto which a heavy metal is adsorbed, based on a first solenoid coil and a second solenoid coil that have an identical winding direction, applying a high-frequency signal to the magnetite, based on a third solenoid coil having a winding direction that differs from that of the first solenoid coil and the second solenoid coil, detecting a high-frequency signal transformed by the magnetite, and calculating a phase difference between a previously detected default high-frequency signal and the transformed high-frequency signal, and analyzing an efficiency of heavy metal removal by the magnetite by measuring a concentration of the heavy metal based on the phase difference.

Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.

Abstract: Disclosed are a system and method for performing distortion correction and calibration using a pattern projected by a projector. The system for performing distortion correction and calibration includes a projector that projects a pattern, at least one camera that generates a photographed pattern image by photographing an image onto which the pattern is projected, and an image processing device that calculates a calibration parameter by comparing an original pattern image projected by the projector and the photographed pattern image. Thus, it is possible to obtain an accurate depth image by easily utilizing an image for the pattern projected by the projector. In addition, when obtaining the depth image, the calibration parameter for correcting image distortion according to camera lens and a calibration state of cameras may be efficiently obtained using the pattern projected by the projector.

Abstract: There are provided a stereo matching method capable of increasing a resolution and precision of an object and a device for performing the method. The method includes investigating a pattern according to a predetermined period; obtaining left and right stereo images in which the investigated pattern is included or not included; determining whether each of the stereo image obtained according to the predetermined period and a buffering image that is a previous frame image of the stereo image includes the pattern; and generating a final cost volume by performing different image processing according to whether each of the stereo image and the buffering image includes the pattern. Therefore, it is possible to increase precision of a disparity of a thin object and increase accuracy and precision of an object at a long distance.

Abstract: Disclosed are a system and method for performing distortion correction and calibration using a pattern projected by a projector. The system for performing distortion correction and calibration includes a projector that projects a pattern, at least one camera that generates a photographed pattern image by photographing an image onto which the pattern is projected, and an image processing device that calculates a calibration parameter by comparing an original pattern image projected by the projector and the photographed pattern image. Thus, it is possible to obtain an accurate depth image by easily utilizing an image for the pattern projected by the projector. In addition, when obtaining the depth image, the calibration parameter for correcting image distortion according to camera lens and a calibration state of cameras may be efficiently obtained using the pattern projected by the projector.

Abstract: An image matching apparatus includes a bilateral filter that filters a left image and a right image to output a second left image and a second right image; a census cost calculation unit performing census transform on a window based on a first pixel of the second left image and a window based on a second pixel of the second right image to calculate a census cost corresponding to a pair of pixels of the first and second pixels; a support weight calculation unit obtaining support weights of the left and right images or the second left and second right images; a cost aggregation unit obtaining energy values of nodes corresponding to the pair of pixels of the first and second pixels using the census cost and the support weights; and a dynamic programming unit performing image matching using dynamic programming by the energy values of each node obtained.

Abstract: A stereo matching system comprising a face detection unit configured to detect a face area using either one of a reference image and a target image provided thereto to extract information about the detected face area and a support window setting unit configured to compare between the information about the detected face area by the face detection unit and a preset value to set the size of support window.

Abstract: An apparatus includes a noise removal block for removing image noise mixed with an input image, a Modified Census Transform (MCT) block for transforming the input image from which the image noise has been removed into a current MCT coefficient, a candidate pattern extraction block for calculating a Sum of Hamming Distance (SHD) value between a current pattern window of the transformed current MCT coefficient and a reference pattern window of a previously registered template image by performing SHD calculation on the two pattern windows and extracting a candidate pattern, and a pattern detection block for scaling down the input image in a predetermined ratio when all pixels of the current scale are processed and detecting a candidate pattern having a minimum SHD value, of stored candidate patterns, as a representative pattern.

Abstract: Disclosed are an apparatus and a method for extracting an edge to be used for extracting a feature point of an object in an image. The present invention proposes an image edge extracting apparatus and method that remove noise in an input image, calculate a gradient of an image in a noise-removed image, measure magnitude of the gradient, extract an edge having a maximum thickness value, and then calculate a threshold using a ratio of the extracted edge, and detect a final edge robust against noise based on the threshold.

Abstract: An active stereo matching method includes extracting a pattern from a stereo image, generating a depth map through a stereo matching using the extracted pattern, calculating an aggregated cost for a corresponding disparity using a window kernel generated using the extracted pattern and a cost volume generated for the stereo image, and generating a disparity map using the depth map and the aggregated cost.

Abstract: Disclosed is a stereo matching system and method using a dynamic programming scheme. The stereo matching system and method using a dynamic programming scheme according to the present invention may perform viterbi type stereo matching using at least two different penalty of disparity discontinuity (PD) values and synthesize the performed stereo matching results, thereby outputting a disparity map.

Abstract: This specification provides a method of projecting patterns using a structured light method and a stereo vision apparatus using the same. The apparatus includes a Laser Diode (LD), an optical splitter configured to receive a light source from the LD and copy a plurality of light sources having identical characteristics with the light source of the LD, and a plurality of diffusers configured to receive the plurality of light sources copied by the optical splitter and optically project patterns.

Abstract: Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.