• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.05a
• /
• pp.608-612
• /
• 2002

An automatic face and facial feature points(FFPs) detection system is proposed. A face is represented as a graph where the nodes are placed at facial feature points(FFPs) labeled by their Gabor features md the edges are describes their spatial relations. An innovative flexible feature matching is proposed to perform features correspondence between models and the input image. This matching model works likes random diffusion process in the image spare by employing the locally competitive and globally corporative mechanism. The system works nicely on the face images under complicated background, pose variations and distorted by facial accessories. We demonstrate the benefits of our approach by its implementation on the fare identification system.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
• /
• 1995.10a
• /
• pp.60-63
• /
• 1995

반도체 1장을 가공하는데 약 300개 공정에 3개월이 소요되며, 반도체 3사의 95년도 순이익은 2조5천억 원에 달할 것으로 전망된다. 이렇게 엄청난 부가가치 때문에 업계뿐 아니라 국가적으로 심혈을 기울이고 있으나 가공기술과 물량에서 선진국일 뿐 반도체를 가공할 수 있는 장비는 전량 외산에 의존하고 있다. 이러한 현상은 미국이나 일본 등 반도체 분야 선진국들과의 경쟁에서 뒤쳐질 수밖에 없는 구조적인 단점을 가지고 있다. 이를 극복하기 위해서 반도체 제조 장비의 국산화가 시급하며 그중 하나인 Chamber 내에서 Plasma를 발생시키고 자동 접할수 있는 시스템을 설계하고 제작코자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.734-737
• /
• 2008

This paper presents a new automatic TFT-LCD image quality optimization system. We also have developed new algorithms using 6-point programmable matching technique with reference gamma curve, and automatic power setting sequence. It optimizes automatically gamma adjustment and power setting registers in mobile TFT-LCD driver IC to reduce gamma correction error, adjusting time, and flicker. Developed algorithms and programs are generally applicable for most of the TFT-LCD modules. The proposed optimization system contains module-under-test (MUT, TFT-LCD module), control program, multimedia display tester for measuring luminance and flicker, and control board for interface between PC and TFT-LCD module. The control board is designed with DSP, and it supports various interfaces such as RGB and CPU. Developed automatic image quality optimization system showed significantly reduced gamma adjusting time, reduced flicker, and much less average gamma error than competing system. We believe that the proposed system is very useful to provide high image quality TFT-LCD and to reduce developing process time using optimized gamma-curve setting and automatic power setting.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.11a
• /
• pp.285-288
• /
• 2005

최근 임베디드 시스템의 안정성이 제품의 상품성에 매우 중요한 요인이 되면서, 임베디드 시스템의 내장된 소프트웨어의 품질 검증이 중요해졌다. 내장된 소프트웨어를 검증을 위해서 자동 테스트 방식을 사용할 때, 테스트 오라클이 필요하다. 테스트 오라클을 정확하게 구축하기 위해서는 시스템의 요구사항을 정확하고 수행 가능한 형태로 기술하여야 한다. 따라서 테스트 오라클 생성의 기반이 되는 시스템 사양에서 오류를 검출하는 작업은 매우 중요한 작업이다. 본 논문에서는 사양에 내재가 가능한 다양한 오류 중에서 정합성 오류를 검출하는 방법을 제안한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1998.04a
• /
• pp.151-154
• /
• 1998

본 논문에서는 스테레오 정합기법을 이용하여 2차원 물체의 형상정보로부터 3차원 형상정보를 자동 추출하는 시스템을 제안한다. 본 논문에서는 정확한 3차원 형상추출을 위해서 밝기값기반 방법과 특징기반 방법의 장점을 살려 두 방법을 통합 사용하였다. 또한, 오정합을 최소화하고 처리속도를 향상시키기 위해서Coarst-to-fine 방법을 적용하였다. 제안한 방법에 의해 도출된 변이영상(Disparity map)은 3차원 그래픽을 이용하여 모델링에 적용함으로써 3차원 형상정보 추출의 타당성 및 가상공간에서의 적용 가능성을 보였다.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1257-1271
• /
• 2022

Recently, many Earth observation optical satellites have been developed, as their demands were increasing. Therefore, a rapid preprocessing of satellites became one of the most important problem for an active utilization of satellite images. Satellite image matching is a technique in which two images are transformed and represented in one specific coordinate system. This technique is used for aligning different bands or correcting of relative positions error between two satellite images. In this paper, we propose an automatic image matching method among satellite images with different ground sampling distances (GSDs). Our method is based on improved feature matching and robust estimation of transformation between satellite images. The proposed method consists of five processes: calculation of overlapping area, improved feature detection, feature matching, robust estimation of transformation, and image resampling. For feature detection, we extract overlapping areas and resample them to equalize their GSDs. For feature matching, we used Oriented FAST and rotated BRIEF (ORB) to improve matching performance. We performed image registration experiments with images KOMPSAT-3A and RapidEye. The performance verification of the proposed method was checked in qualitative and quantitative methods. The reprojection errors of image matching were in the range of 1.277 to 1.608 pixels accuracy with respect to the GSD of RapidEye images. Finally, we confirmed the possibility of satellite image matching with heterogeneous GSDs through the proposed method.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.41 no.1
• /
• pp.55-62
• /
• 2004

A semi-automatic registration process of determining specified points is presented, which is required to register brain MR images based on Talairach atlas. Generally, ten specified points that define Talairach coordinates are anterior commissure(AC), posterior commissure (PC), anterior feint (AP), posterior point (PP), superior point (SP), inferior point (IP), left point (LP), right point (RP) and two points for the midline of the brain. The suggested method reduces user interaction for S points, and finds the necessary points for registration in a more stable manner by finding AC and PC using two-level shape matching of the corpus callosum (CC) in an edge-enhanced brain M image. Remaining points are found using the intensity information of cutview.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.27 no.1
• /
• pp.667-675
• /
• 2009

Image matching is widely applied in image application areas, such as remote sensing and GIS. In general, the initial set of matching points always includes outlier which affect the accuracy of image matching. The purpose of this paper is to develop a robust approach for outlier detection and removal in order to keep accuracy in image matching applications. In this paper we use three automatic outlier detection techniques of backward matching and affine transformation, and RANSAC(RANdom SAmple Consensus) algorithm. Moreover, we calculate overlapping apply and steps block-based processing for fast and efficient image matching in pre-processing steps. The suggested approach in this paper has been applied to real frame image pairs and the results have been analyzed in terms of the robustness and the efficiency.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.3
• /
• pp.9-16
• /
• 2018

The media facade technique requires the matching process of the content to the projection target. For this reason, each time the projection target is changed, the matching process of the same content must be performed again at each time. This problem can be solved by analyzing the elevation of the object and automatically performing matching process of the content in real time and projecting the matched content. In this paper, we propose and implement a new algorithm that can obtain the optimized matching content in real time by analyzing the elevation of the object to be projected. The proposed method processes the image matching by using the depth information of the elevation obtained by IR cameras.

• Korean Journal of Cognitive Science
• /
• v.14 no.1
• /
• pp.11-16
• /
• 2003

This Paper extracts the edge of main components of face with Gator wavelets transformation in facial expression images. FCM(Fuzzy C-Means) clustering algorithm then extracts the representative feature points of low dimensionality from the edge extracted in neutral face. The feature-points of the neutral face is used as a template to extract the feature-points of facial expression images. To match point to Point feature points on an expression face against each feature point on a neutral face, it consists of two steps using a dynamic linking model, which are called the coarse mapping and the fine mapping. This paper presents an automatic extraction of feature-points by dynamic linking model based on Gabor wavelets and fuzzy C-means(FCM) algorithm. The result of this study was applied to extract features automatically in facial expression recognition based on dimension[1].