Electronics and Telecommunications Research Institute

Sejong University

Ji Ho Chang

Jae Il Cho

Dae Hwan Hwang

Eul Gyoon Lim

Seung Min Choi

Ho Chul Shin

Jae Chan Jeong

Hye Jin Kim

Dong Il Han

Jae Yeon Lee

Jong Ho Choi

Kwang Ho Yang

Kuk Jin Yoon

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.

Apparatus and method for calculating cost volume in stereo matching system including illuminator

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.

Stereo matching method and device for performing the method

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.

System for performing distortion correction and calibration using pattern projection, and method using the same

Disclosed is an apparatus and method for calculating a raw-cost necessary for combining images into one image by matching of stereo images. The raw-cost calculation apparatus includes an image acquirer, a window generator, a window mask generator, a window masker, and a raw-cost calculator. In the raw-cost calculation apparatus and method, a raw cost may be calculated by using an adaptive window mask so that accurate 3D information may be obtained on the boundary of thin structures even when stereo images are matched and combined.

Apparatus and method for raw-cost calculation using adaptive window mask

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.

Stereo matching by census transform and support weight cost aggregation

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.

Apparatus and method for extracting edge in image

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.

Stereo matching system using dynamic programming and method thereof

Provided is a device for improving stereo matching results. The device for improving stereo matching results includes: a stereo camera unit outputting binocular disparity images by using binocular disparity between two images preprocessed according to a plurality of preprocessing conditions; a discrete cosine transform (DCT) unit generating DCT coefficients by performing DCT on the binocular disparity images; a streak estimation unit receiving the DCT coefficients and estimating amounts of streaks distributed on a screen by using AC coefficients, including streak patterns, of the DCT coefficients; a condition estimation unit estimating a preprocessing condition, corresponding to the smallest amount of streaks of the estimated amounts of streaks, of the plurality of preprocessing conditions, as an optimal condition, and a streak removal unit generating binocular disparity images without the streaks by changing predetermined AC coefficients of the DCT coefficients and performing inverse DCT on the changed DCT coefficients.

Device for improving stereo matching results, method of improving stereo matching results using the device, and system for receiving stereo matching results

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.

Human recognition apparatus and human recognition method

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.

Face detection apparatus and distance measurement method using the same

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.

Growing community of inventors

Daejeon, South Korea

Ji Ho Chang