Electronics and Telecommunications Research Institute

Sejong University

Korea Telecom

Dae Hwan Hwang

Jae Il Cho

Seung Min Choi

Eul Gyoon Lim

Ji Ho Chang

Ki Jong Koo

Ho Chul Shin

Hye Jin Kim

Ji Eun Kim

Bong Tae Kim

Dong Il Han

Hun Sik Kang

Jae Yeon Lee

Jong Ho Choi

Chan Won Park

Kwang Ho Yang

Young Cheol Park

Dae Hee Youn

Jae Chan Jeong

Ki Seung Lee

Young Duk Park

Ho Sang Sung

Jongho Choi

Jaekwang Song

Jiho Chang

Moon Keun Lee

Jein Baek

Dongil Han

Kuk Jin Yoon

Jong Hyeong Lee

Hyeonjong Jo

Kyu Seob Cho

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 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

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

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.

Robot vision system and detection method

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

An image object detection apparatus includes a noise filtering block for removing image noise an input image, an image scaling block for scaling the noise-removed input image to produce a scaled input image, an image conversion block for dividing the scaled input image into multiple regions and converting the divided image by a modified census transform (MCT) method, a data processing block for comparing MCT values of the image converted by the MCT method with a preset threshold, detecting at least one candidate region and identifying a human region from said at least one detected candidate region, and an image output block for marking the identified human region on the noise-removed input image.

Method and apparatus of detecting image objects

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

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.

Stereo vision system and stereo vision processing method

A media access control (MAC) apparatus and corresponding methods for guaranteeing quality-of-service in a wireless local area network (LAN) are presented. The MAC method includes the steps of extracting, performing, determining, a first transmitting step, and a second transmitting step. The extracting step includes extracting a user priority from a frame received from an upper layer and separately storing a voice frame and a non-voice frame according to an access category (AC). The performing step includes independently performing backoff operations for the voice frame and the non-voice frame. The determining step includes determining whether the backoff operations for the voice frame and the non-voice frame have simultaneously ended. The first transmitting step includes transmitting the voice frame having a higher priority first and performing the backoff operation for the non-voice frame if the backoff operations have simultaneously ended. The second transmitting step includes transmitting a frame whose backoff operation ends if the backoff operations have not simultaneously ended.

Media access control apparatus and method for guaranteeing quality of service in wireless LAN

There are provided an apparatus and method for vision processing on a network based intelligent service robot system and a system using the same. A robot can move to a target object, avoiding obstacles without helps of a robot server interfaced with a robot terminal over network, by extracting/processing three-dimensional distance information of external objects, using a stereo camera, a low price image processing dedicated chip and an embedded processor. Therefore, the intelligent robot can travel and move using only a stereo camera image processing without other sensors, and further provides users with various functional services with low expense.

Apparatus and method for vision processing on network based intelligent service robot system and the system 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.

Stereo vision system and control method thereof

The present invention relates to a media access controller, and more particularly, to a media access controller which can adjust operational parameters according to a setting environment of a packet transmission system by re-setting the operational parameters of the media access controller by an external source. A media access controller (MAC) according to an aspect of the present invention comprises: a carrier analyzer, which generates a timeslot using a carrier sense signal input from a modem of a station and outputs a type and a timeslot of a received frame; a collision resolution handler, which grants medium access by monitoring for collisions between stations and between itself and another station using a collision resolution algorithm; a random number generator, which generates a random number (RndNum) based on a MAC address value when a collision between itself and another station occurs; a transmission on generator, which receives a transmission ready (TxReady) signal and a timeslot to be transmitted from a frame controller of the system and generates a data transmission on (TxDataOn) signal and a transmission frame type (TxSigType) signal; and a parameter setting unit, which adjusts operational parameters of the MAC to be suitable for a setting environment of the station.

Media access controller

The present invention relates to a media access control (MAC) apparatus and method for guaranteeing quality-of-service in a wireless local area network (LAN). The MAC method comprises: extracting a user priority from a frame received from an upper layer and separately storing a voice frame and a general frame according to an access category (AC); independently performing backoff operations for the voice frame and the general frame; determining whether the backoff operations for the voice frame and the general frame have simultaneously ended; if the backoff operations have simultaneously ended, transmitting the voice frame having a higher priority first and performing the backoff operation for the general frame; and if the backoff operations have not simultaneously ended, transmitting a frame whose backoff operation ends.

Growing community of inventors

Daejeon, South Korea

Dae Hwan Hwang