• Korean Journal of Remote Sensing
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• v.20 no.6
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• pp.409-418
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• 2004

LOD is a widely used technique in 3D game and animation to represent large 3D data sets smoothly in real-time. Most LOD algorithms use a binary tree to keep the ancestor information. A new algorithm proposed in this paper, however, do not keep the ancestor information, thus use the less memory space and rather increase the rendering performance. To verify the efficiency of the proposed algorithm, performance comparison with ROAM is conducted in real-time 3D terrain navigation. Result shows that the proposed algorithm uses about 1/4 of the memory space of ROAM and about 4 times faster than ROAM.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.13-19
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• 2012

The techniques of 3d image processing have broadly used in the areas including movies, games, performances, exhibitions. In addition, increasing demands for practical uses have gradually extended to the areas of architecture, medicine, nuclear power plant. However, dominant techniques for 3d image processing seem to depend on multi-camera in which two stereo images are merged into one image. Also the pipeline has limitations to provide real-time 3d viewer in ubiquitous computing. It is not able to be applicable onto most general screens as well. In addition, the techniques can be utilized for the real-time 3d game play without a particular monitor or convertor. Hence, the research presented here is to aim at developing an efficient real-time 3d viewer using only mono camera which do not need post processing for editing as well.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.20-25
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• 2021

The target-object classification method was implemented using a deep-learning-based detection model in real-time images. The object detection model was a deep-learning-based detection model that allowed extensive data collection and machine learning processes to classify similar target-objects. The recognition model was implemented by changing the processing structure of the detection model and combining developed the vision-processing module. To classify the target-objects, the identity and similarity were defined and applied to the detection model. The use of the recognition model in industry was also considered by verifying the effectiveness of the recognition model using the real-time images of an actual soccer game. The detection model and the newly constructed recognition model were compared and verified using real-time images. Furthermore, research was conducted to optimize the recognition model in a real-time environment.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.824-829
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• 2006

한정된 자원을 사용할 수 있는 게임 AI 분야에서는 시스템 자원을 적절하게 활용하여 현실감을 극대화 시키려는 노력이 중요한 이슈이며, 3D 게임에서 캐릭터들의 자연스러운 경로 탐색은 현실성을 높이는 중요한 척도 중 하나이다. 기존 연구에서는 주로 정적인 지형, 객체들을 적절하게 회피하는 경로에 대한 연구가 많이 진행되었다. 그러나 최근 널리 이용되고 있는 다중사용자가 접속하는 온라인 RPG 게임에서는 기존 방법을 그대로 적용하기에 많은 연산량이 필요한 문제점이 있다. 본 논문에서는 네비게이션 메시(Navigation Mesh) 기반으로 최적화된 A*, 그리고 밀개(Repulsors)의 방법을 통하여 동적인 환경에서 자연스러운 경로탐색을 수행하며 3D 게임에 적용 가능한 연산량을 충족하는 경로탐색 시스템을 제안하였다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.505-506
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• 2008

Motion capture system that is used in movies and games today requires large equipments and expensive that it is still not common as a reasonable family game. Therefore, this research project focused on solving these problems mentioned above and move on to develop a new type of approach and by using reasonable family use USB camera and augmented reality to develop a bodily sensation motion capture system which can be used in making a video game. In order to develop this, I used a pair of Marker which can be placed on both hands and one USB camera and the image that was extracted in real time goes through the AR toolkit and ed the 3D coordinates of data and developed a motion capture system.

• 한국IT서비스학회:학술대회논문집
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• 2002.11a
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• pp.451-456
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• 2002

SIP는 새로운 서비스로의 확장에 유연하다는 장점을 가지고 있다. 본 논문에서는 SIP 프로토콜을 게임서버에 접목하여, 이를 통해 얻을 수 있는 부가서비스를 제안한다. 게임서버의 사용자 인증부분을 SIP Registrar 서버로 확장하여 해결하고, SIP Personal Mobility Service를 이용하여 게임에 접속되지 않은 사용자에게 게임 정보에 대한 피드백(feedback)이 올 수 있도록 설계하였다. 즉, 사용자가 이동 가능한 위치를 SIP Registrar 서버에 등록하면, 게임서버는 게임의 진행정보를 오프라인 상태의 사용자에게 전달한다. 이 부가 서비스는 단순히 게임엔진 뿐만 아니라 증권, 뉴스속보 서비스 등 실시간 정보를 요구하는 서비스에 접목하기에 충분한 장점을 가지고 있다. 본 논문에서는 SIP 프로토콜을 게임서버에 적용하기 위한 방안으로 인터넷상의 SIP 사용자에게 실시간 온라인 게임 정보 전송 서비스 아키텍처를 제안한다.

• Journal of Korea Game Society
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• v.13 no.1
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• pp.31-40
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• 2013

A* algorithm is a well known pathfinding algorithm. However, there may be a limit to use A* algorithm in real-time in a map where many interactions occur between objects or many obstacles exist. Therefore, it may be necessary to find a naturally looking path quickly instead of finding a shortest path in games. In this paper, we propose a new heuristic function to exploit path information in a map. We also show that the pathfinding algorithm based on the proposed heuristic function can find a good path much faster than A* algorithm on several grid maps.

• Journal of Korea Game Society
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• v.20 no.3
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• pp.65-74
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• 2020

In the shadow map method, if the shadow map is magnified, the shadow has a jagged silhouette. Herein, we propose a soft shadow method that filters reshaped silhouettes analytically. First, the shadow silhouette is reshaped through sub-texel edge detection, which is based on linear or quadratic curve models. Second, an integral shadow filtering algorithm is used to accurately obtain the average shadow intensity from a definite integral estimation. The implementation demonstrates that our solution can effectively eliminate jagged aliasing and efficiently generate soft shadows.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.6-9
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• 2014

스마트폰의 등장과 함께 한국의 모바일 게임 시장은 급속도로 성장하기 시작했다. 그러나 이러한 성장은 애플리케이션의 표절, 독창성 부족, 미완성 등의 부작용을 가져왔다. 본 논문에서는 모바일 게임의 특성과 모바일 게임 시장의 현황을 알아보고, 현 시장에서 경쟁력을 가질 수 있는 기술로써 실시간으로 상대방의 게임판을 확인하여 상대와 동시에 할 수 있는 기술을 제시하고 실제로 PC 버전으로 모바일 게임을 응용하여 구현하여 보았다.

• ETRI Journal
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• v.43 no.1
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• pp.141-151
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• 2021

Several methods exist for detecting hacking programs operating within online games. However, a significant amount of computational power is required to detect the illegal access of a hacking program in game clients. In this study, we propose a novel detection method that analyzes the protected memory area and the hacking program's process in real time. Our proposed method is composed of a three-step process: the collection of information from each PC, separation of the collected information according to OS and version, and analysis of the separated memory information. As a result, we successfully detect malicious injected dynamic link libraries in the normal memory space.