• Journal of Korea Society of Industrial Information Systems
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• v.12 no.2
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• pp.60-67
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• 2007

This paper describes the development of on-line computer vision laboratories to teach the detailed image processing and pattern recognition techniques. The computer vision laboratories include distant image acquisition method, basic image processing and pattern recognition methods lens and light, and communication. This study introduces a case study that teaches computer vision in distance learning. environment. It shows a schematic of a distant teaming workstation and contents of laboratories with image processing examples. The study focus more on the contents of the vision Labs rather than internet application method. The study proposes the ways to improve the on-line computer vision laboratories and includes the further research perspectives.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.6
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• pp.26-34
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• 1999

This study shows an alternative method for the determination of object's position, based on a computer vision method. This approach develops the vision system model to define the reciprocal relationship between the 3-D real space and 2-D image plane. The developed model involves the bilinear six-view parameters, which is estimated using the relationship between the camera space location and real coordinates of known position. Based on estimated parameters in independent cameras, the position of unknown object is accomplished using a sequential estimation scheme that permits data of unknown points in each of the 2-D image plane of cameras. This vision control methods the robust and reliable, which overcomes the difficulties of the conventional research such as precise calibration of the vision sensor, exact kinematic modeling of the robot, and correct knowledge of the relative positions and orientation of the robot and CCD camera. Finally, the developed vision control method is tested experimentally by performing determination of object position in the space using computer vision system. These results show the presented method is precise and compatible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.1103-1106
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• 2005

The purpose of this research is design of Vision Box which can capture an image which inputs through the camera and understand movement of object included in captured image. In design, we tried to satisfy user's requirements. We made Vision Box can analyze movement of object in image captured by camera without additional instruments. In addition, it is possible that communicate with PLC and operate Vision Box by remote control. We could verify the Vision Box capability by using it to automobile engine pattern analysis. We expect the Vision Box will be used various industrial fields.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.507-510
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• 1996

In this paper we present the multi-agent robot system developed for participating in micro robot soccer tournament. The multi-agent robot system consists of micro robot, a vision system, a host computer and a communication module. Mcro robot are equipped with two mini DC motors with encoders and gearboxes, a R/F receiver, a CPU and infrared sensors for obstacle detection. A vision system is used to recognize the position of the ball and opponent robots, position and orientation of our robots. The vision system is composed of a color CCD camera and a vision processing unit. Host computer is a Pentium PC, and it receives information from the vision system, generates commands for each robot using a robot management algorithm and transmits commands to the robots by the R/F communication module. And in order to achieve a given mission in micro robot soccer game, cooperative behaviors by robots are essential. Cooperative work between individual agents is achieved by the command of host computer.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.193-206
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• 2023

In recent years, and with the increased adoption of digital transformation and spending long hours in front of these devices, clinicians have observed that the prolonged use of visual display units (VDUs) can result in a certain symptom complex, which has been defined as computer vision syndrome (CVS). This syndrome has been affected by many causes, such as light refractive errors, poor computer design, workplace ergonomics, and a highly demanding visual task. This research focuses on eliminating one of CVSs, which is the eye dry syndrome caused by infrequent eye blink rate while using a smart device for a long time. This research attempt to find a limitation on the current tools. In addition, exploring the other use cases to utilize the solution based on each vertical and needs.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.63-71
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• 2023

Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.320-321
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• 2012

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.300-301
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• 2008

본 논문에서는 GPU를 이용한 고속 보간법 개발방법에 대해 제안한다. GPU는 흔히 그래픽 연산에 사용되지만 최근에는 GPGPH가 각광을 받고 있다. 특히 NVIDIA에서 발표한 CUDA를 이용하면 GPU를 쉽게 접근하여 프로세싱 할 수 있어 많은 분야에서 GPU를 활용하고 있다. 본 논문에서는 실제 CUDA를 이용하여 여러 가지 보간법에 대한 알고리즘을 구현하여 CUDA의 성능을 확인하였다. CPU에서 구현한 알고리즘과 CUDA를 이용한 알고리즘을 비교했을 때 메모리 할당 및 전송부분을 제외한 수순 프로세싱 시간을 보면 CPU에서 훨씬 좋은 성능을 나타내었고, 메모리 할당 및 전송을 고려했을 때 작은 사이즈 영상에서는 오히려 역효과가 나타났고, 대용량 영상에서는 좋은 성능을 나타냄을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.553-554
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• 2018

최근 AI, 음성인식, 빅데이터, IoT의 발달에 의해 홈 스마트 비서에 대한 관심이 증대되고 있다. 이에 맞추어 국내외 대기업들은 청각 중심의 다양한 스마트 비서 제품을 출시하였다. 따라서 본 논문에서는 기존의 단점을 보완한 스마트-홈 비서 시스템을 제안한다. 스마트-홈 비서 시스템은 전방 상황 및 사용자의 행동을 인식할 수 있게 하는 영상 처리부, 카메라에서 획득한 정보에 따라 상황에 맞추어 Pseudo-Hologram 콘텐츠를 재생하는 영상 표출부로 구성되어 있다. Pseudo-Hologram을 활용하여 표출함으로써 사용자 UI/UX에 실감성을 더한 시각적인 스마트-홈 비서 시스템을 구현하였다.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.409-415
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• 2022

In computer vision, an image of a measurement target is acquired using a camera. And feature values, vectors, and regions are detected by applying algorithms and library functions. The detected data is calculated and analyzed in various forms depending on the purpose of use. Computer vision is being used in various places, especially in the field of automatically recognizing automobile parts or measuring the quality. Computer vision is being used as the term machine vision in the industrial field, and it is connected with artificial intelligence to judge product quality or predict results. In this study, a vision system for judging the quality of automobile parts was built, and the results were compared by applying five machine learning classification models to the produced data.