Abstract: Disclosed herein is a nano-magnetic-particle-imaging apparatus, including a measurement head including excitation and detection coils and accommodating a sample bed for a sample including nano magnetic particles; a gradient magnetic field generation unit for generating a magnetic field having a strength equal to or greater than that of the saturation magnetic field of the nano magnetic particles in a spacing area between identical magnetic poles facing each other and forming a field-free region in a portion thereof; a first driving unit for linearly moving the sample bed; a second driving unit for rotating the gradient magnetic field generation unit in a plane; a third driving unit for linearly reciprocating the gradient magnetic field generation unit; and a control unit for applying a signal to the excitation coil, controlling the driving units, and imaging 3D distribution of the nano magnetic particles based on a detection signal output from the detection coil.

Abstract: Disclosed herein is a nano-magnetic-particle-imaging apparatus, including a measurement head including excitation and detection coils and accommodating a sample bed for a sample including nano magnetic particles; a gradient magnetic field generation unit for generating a magnetic field having a strength equal to or greater than that of the saturation magnetic field of the nano magnetic particles in a spacing area between identical magnetic poles facing each other and forming a field-free region in a portion thereof; a first driving unit for linearly moving the sample bed; a second driving unit for rotating the gradient magnetic field generation unit in a plane; a third driving unit for linearly reciprocating the gradient magnetic field generation unit; and a control unit for applying a signal to the excitation coil, controlling the driving units, and imaging 3D distribution of the nano magnetic particles based on a detection signal output from the detection coil.

Abstract: An apparatus and method for calculating a cost volume by controlling an intensity so as to receive relatively less influence from a condition of intensity when capturing a stereo image and changing a parameter for each level according to distance is provided. The apparatus includes an illuminator controller, a pixel expected ratio calculator, and a cost volume calculator, and controls intensity using the illuminator when capturing an object, and calculates a cost volume value so as to receive relatively less influence from distance and intensity when performing stereo matching by changing a parameter used for calculating the cost volume value according to distance to the object and intensity.

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: An apparatus and method for calculating a cost volume by controlling an intensity so as to receive relatively less influence from a condition of intensity when capturing a stereo image and changing a parameter for each level according to distance is provided. The apparatus includes an illuminator controller, a pixel expected ratio calculator, and a cost volume calculator, and controls intensity using the illuminator when capturing an object, and calculates a cost volume value so as to receive relatively less influence from distance and intensity when performing stereo matching by changing a parameter used for calculating the cost volume value according to distance to the object and intensity.

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 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: Disclosed is a stereo matching method for calculating disparity from binocular images. The stereo matching method extracting distance information of objects included in images by using binocular images, includes receiving the binocular images acquired from a first camera and a second camera for acquiring the binocular images; processing the images so as to increase contrast between objects and background objects included in the received images by using a predetermined first algorithm; and performing, stereo matching using the processed images. An exemplary embodiment of the present invention outputs a disparity map in which objects and background are divided, thereby robustly recognizing a person or obstacles.

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

Abstract: A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.

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: 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: 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: A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.

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