• Proceedings of the KSME Conference
• /
• 2005.11a
• /
• pp.198.2-198.2
• /
• 2005

• Proceedings of the Korean Information Science Society Conference
• /
• 1998.10c
• /
• pp.449-451
• /
• 1998

컴퓨터 비젼에서의 여러 문제를 해결하는데 있어서 최소화 기법이 많이 사용되지만 구체적인 구현 방법이나 성능 평가에 대한 자료가 미흡하다. 본 논문에서는 다른 연구자들이 기법을 선택하는데 참고가 되도록 널리 사용되는 최소화 기법들의 방법, 구현, 성능 등에 관하여 기술한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.329-332
• /
• 2015

야간에 자동차를 운행할 때 검정색 차량 같은 어두운 색상의 자동차는 운전자가 인지를 못하는 경우가 많고 안개가 짙게 낀 상황도 운전자의 시야가 좁아져 교통사고율이 급격하게 증가한다. 도로교통공단의 자료에 의하면 최근 5년(2009~2013) 동안 가해자의 안전거리 미확보로 인한 교통사고는 매년 감소하는 것으로 나타나지만, 안전운전 의무 불이행 다음으로 두 번째로 높은 사고 건수를 기록하고 있다. 이는 아직도 운전자의 시인성 저하에 대한 방안이 부족하기 때문이다. 시인성 저하를 위한 대책으로 BMW, AUDI, Benz 회사에서 적외선 카메라를 이용한 나이트 비젼이 있으나 거리감지기능이 없어 디스플레이를 계속 주시하면서 운행하여야 하므로 시야가 좁아져 다른 위험이 발생할 수 있다. 현재 시중에 제공되고 있는 적외선 나이트 비젼 카메라를 이용하였을 때 일반 시야보다 약 4배 정도의 거리를 인식할 수 있었고, 이러한 나이트 비젼의 장점을 활용하여 전면 차량과의 안전거리를 확보하는 시스템을 제안한다. 본 논문에서는 제시하는 시스템은 시인성이 떨어지는 환경을 가정하여 설계하였고 나이트 비젼 카메라를 이용해 디스플레이로 출력하여 육안으로 구분할 수 없는 물체도 인지할 수 있어 헤드라이트를 켜고 운행할 때보다 안전한 운행을 할 수 있을 것으로 보인다. 하지만 디스플레이를 지속적으로 주시하며 운행할 경우 거리 감각이 떨어져 근접해 오는 물체와의 충돌 사고를 막기 힘들 것으로 보인다. 따라서 이러한 단점을 보안하기 위해 영상 데이터를 활용하여 앞 차량의 유무를 파악하고 차량이 있을 때 안전거리를 디스플레이에 표시함으로 앞 차량과의 거리를 유지하여 사고를 예방하여 안전 운행이 가능하도록 설계하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.8
• /
• pp.1813-1819
• /
• 2011

In this research, the location positioning system supposed is concerned with range recognition technology using phase and magnitude of radio wave and adding technology of image histogram by vision. By the proposed technology, we design the radio transmitter and receiver and realize the measurement system, and save the data in disk that is earned from 900Mhz RF signal, middle frequency 450Khz of analog signal. Range information is earned the data through digital signal processing of IF signal. For the estimation of range measured, we analyze the difference between real range and measurement range, and also suggest the method to improve the measurement error using average processing and amplitude properties.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.10
• /
• pp.5130-5133
• /
• 2013

Volumetric display has many applications recently in education, 3D movie, medical images but these applications have several problems that need to be overcome. Volumetric display may process a amount of visual data and design the high efficient vision system for realtime display. The stereo data for volumetric display estimated the disparity vectors from the stereoscopic sequences has been transmitted the disparity vectors, motion vectors and residual images with the reference images, and the stereoscopic sequences have been reconstructed at the receiver for 3D display. Central issue for efficient 3D display lies in selecting an appropriate stereo matching with robust vision system. In this paper, high efficient vision system is proposed for efficient stereo image matching and the experimental results represent high efficiency for proposed 3D display system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.1
• /
• pp.504-507
• /
• 2005

In this paper, we propose a calibration technique of 3D coordinates using orthogonal stereo vision. First, we acquire front- image and upper- image from stereo cameras with real time and extract each coordinates of a moving object using differential operation and ART2 clustering algorithm. Then, we can generate 3D coordinates of that moving object through combining these two coordinates. Finally, we calibrate 3D coordinates using orthogonal stereo vision since 3D coordinates are not accurate due to perspective. Experimental results show that accurate 3D coordinates of a moving object can be generated by the proposed calibration technique.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.15 no.5
• /
• pp.560-566
• /
• 2005

In this paper, a practical technique for correction of a distorted image for vision-based localization of ubiquitous mobile robot. The localization of mobile robot is essential and is realized by using camera vision system. In order to wide the view angle of camera, the vision system includes a fish-eye lens, which distorts the image. Because a mobile robot moves rapidly, the image processing should he fast to recognize the localization. Thus, we propose the practical correction technique for a distorted image, verify the Performance by experimental test.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.40 no.3
• /
• pp.305-315
• /
• 2016

This study aims to develop a robot vision control scheme using the Newton-Raphson (N-R) method for the uncertainty of circumstance caused by the appearance of obstacles during robot movement. The vision system model used for this study involves six camera parameters (C1-C6). First, the estimation scheme for the six camera parameters is developed. Then, based on the six estimated parameters for three of the cameras, a scheme for the robot's joint angles is developed for the placement of a slender bar. For the placement of a slender bar for the uncertainty of circumstances, in particular, the discontinuous robot trajectory caused by obstacles is divided into three obstacle regions: the beginning region, middle region, and near-target region. Then, the effects of obstacles while using the proposed robot vision control scheme are investigated in each obstacle region by performing experiments with the placement of the slender bar.

• Proceedings of the Korea Contents Association Conference
• /
• 2008.05a
• /
• pp.116-120
• /
• 2008

Smart Camera provides intelligent vision functionalities which can interpret captured video, extract context-aware information and execute a necessary action in real-timeliness in addition to the functionality of network cameras which transmit the compressed acquired videos through networks. Intelligent vision algorithms demand tremendous computations so that real-time processing of computation of intelligent vision algorithms as well as compression and transmission of videos simultaneously is too much burden for a single CPU. Davinci processor of Texas Instruments is a popular ASSP(Application Specific Standard Product) which has dual core architecture of ARM core and DSP core and provides various I/O interfaces as well as networking interface and video acquiring interface necessary for developing digital video embedded applications. In this paper, we report the results of designing and implementing S/W for Davinci-based smart camera. We implement a face detection as an example of vision application and verify the implementation works well. In the future, for the development of a smart camera with more broad and real-time vision functionalities, it is necessary to study about more efficient vision application S/W architecture and optimization of vision algorithms on DSP core of Davichi processor.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1995.10a
• /
• pp.1124-1128
• /
• 1995

This paper presents the appplication of computer vision for the purpose of determing the position of the unknown point in the plane. The presented contrik method is estimate the six view parameters reqresenting the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining of position the unknown point in the plane.