• 한국게임학회 논문지
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• 제9권1호
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• pp.127-134
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• 2009

본 논문에서는 사용자의 대응정보를 반영하여 소스 캐릭터와 다른 골격을 가진 타깃 캐릭터의 움직임을 생성하는 방법에 대하여 제안한다. 본 시스템을 통해 사용자는 소스 캐릭터의 제어할 부위와 타깃 캐릭터의 제어될 부위를 대응하여 타깃 캐릭터의 움직임을 생성할 수 있다. 우리는 골격에 제한 없이 타깃 캐릭터의 자세생성을 위해 대응자세의 쌍을 예제로 이용한다. 그리고 뼈의 수에 상관없이 자유롭게 관절의 대응을 제공하기 위해 방향벡터를 사용하여 관절의 구조를 간략화 한다. 최종적인 자세는 예제들의 가중치 합을 통해 생성된다. 본 논문의 실험적 결과를 통해 시스템이 실시간으로 골격이 다른 타깃 캐릭터의 기본적인 움직임을 생성하면서 또한 사용자가 지정한 부위의 외형적 움직임을 생성할 수 있음을 보인다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권2호
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• pp.121-130
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• 2012

This paper proposes an intuitive real-time robot control system using human body movement. Recently, it has been developed that motion generation for humanoid robots with reflecting human body movement, which is measured by a motion capture. However, in the existing studies about robot control system by human body movement, the detailed structure information of a robot, for example, degrees of freedom, the range of motion and forms, must be examined in order to calculate inverse kinematics. In this study, we have proposed Associative Motion Generation as humanoid robot motion generation method which does not need the detailed structure information. The associative motion generation system is composed of two neural networks: nonlinear principal component analysis and Jordan recurrent neural network, and the associative motion is generated with the following three steps. First, the system learns the correspondence relationship between an indication and a motion using training data. Second, associative values are extracted for associating a new motion from an unfamiliar indication using nonlinear principal component analysis. Last, the robot generates a new motion through calculation by Jordan recurrent neural network using the associative values. In this paper, we propose a real-time humanoid robot control system based on Associative Motion Generation, that enables user to control motion intuitively by human body movement. Through the task processing and subjective evaluation experiments, we confirmed the effective usability and affective evaluations of the proposed system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1192-1197
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• 1991

This paper describes a method of extracting the 3-D coordinates of feature points of an object from two images taken by one camera. The first image is from a CCD camera before approaching the object and the second image is from same camera after approaching the object along the optical axis. In the two images, the feature points appear at different position on the screen due to image enlargement. From the change of positions of feature points their world coordinates are calculated. In this paper, the correspondence problem is solved by image shrinking and correlation.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2018년도 하계학술대회
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• pp.90-91
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• 2018

We propose a novel high dynamic range (HDR) video synthesis algorithm using alternatively exposed low dynamic range (LDR) videos. We first develop a superpixel-based illumination invariant correspondence estimation algorithm. Then, we propose a reliability weight to further improve the quality of the synthesized HDR frame. Experimental results show that the proposed algorithm provides high-quality HDR frames compared to conventional algorithms.

• 전자공학회논문지S
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• 제36S권11호
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• pp.68-78
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• 1999

본 논문에서는 동영상에서 특징점의 궤적을 추적하기 위한 알고리즘을 제안한다. 기존의 방법에서 사용된 대부분의 정합의 척도(matching measure)는 동영상의 움직임 특성을 정확히 반영하지 못하여 잘못된 궤적을 나타내는 경우가 있다. 본 논문에서는 특징범의 공간좌표, 이동방향과 이동거리 등 3가지 속성을 정합에 사용하는데 이들 속성에 대하여 가중치(weight)가 부여된 Euclidean 거리를 정합의 척도로 사용한다. 이때 3가지 속성에 대한 가중치를 움직임의 특성에 따라 적응적으로 변화시켜 줌으로써 강건하게 특징점을 추적할 수 있도록 한다. 제안하는 알고리즘은 매 프레임마다 특징점의 운동특성을 정확히 반영함으로써 기존의 방법에 비해 정확한 궤적을 찾을 수 있으며 이는 다양한 동영상에 대한 실험을 통해 확인되었다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.316-321
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• 2004

In this paper, we have developed a new mounting head system for flip chip. The proposed head system consists of a macro/micro positioning actuator for stable force control. The macro actuator provides the system with a gross motion while the micro device yields fine tuned motion to reduce the harmful impact force that occurs between very small sized electronic parts and the surface of a PCB(printed circuit board). In order to show the effectiveness of the proposed macro/micro chip mounting system, we compared the proposed system with the conventional chip mounting head equipped with a macro actuator only. A series of experiments were executed under the mounting conditions such as various access velocities and PCB stiffness. As a result of this study, a satisfactory voice coil actuator as the micro actuator has been developed, and its performance meet well the specifications desired for the design of the chip mounting head system and show good correspondence between theoretical analysis and experimental results.

• 대한한의학원전학회지
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• 제21권2호
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• pp.113-124
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• 2008

The main characteristic of 'Idea of Uimul(宜物思想)' lies in specifically laying down rules on the subject of thought, and creating correlated measures and ways based on those grounds. Thus, 'Ui(宜)' emphasizes the pertinence of the measures and ways. By making a detailed analysis, the importance of 'Mul(物)', the subject of thought, the perception of it, the human reaction to it, and the specific principle of the action, can be seen. Ancient Chinese considered Heaven and Earth the largest frame of perception, and perceived all things through it. Heaven and Earth was differentiated from 'Gi'(氣), and the Gi of Heaven and the Gi of Earth interacted with one another in endless motion. "Hwangjenaegyeong(黃帝內經)" considered nature and all things in it through this ideology of 'Correspondence between Heaven and Humanity(天人相應)'. It considered humans to be born from the Gi of Heaven and Earth and to associate with one another under the influence of the Gi of Heaven and Earth. Therefore, in "Hwangjenaegyeong(黃帝內經)", the ideology of 'Correspondence between Heaven and Humanity(天人相應)' is the fundamental frame of Idea of Uimul(宜物思想). On the other hand, the Ui(宜) in Idea of Uimul(宜物思想) indicates the pertinent measures and ways towards a subject, that is, humans acting appropriately according to the laws of Heaven and Earth inside the ideology of 'Correspondence between Heaven and Humanity(天人相應)'. Humans are affected by nature and adapt to it, but they also recognize the laws of nature and strive to wholly protect the human life by versatilely taking adequate measures against the numerous changes of nature.

• 한국항행학회논문지
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• 제2권2호
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• pp.107-115
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• 1998

본 논문에서는 물체가 서로 겹쳤다가 분리되는 상황하에서도 이동물체를 견고히 추적할 수 있는 모션에너지와 예측에 기반한 이동물체 추적 방법을 제안한다. 이동물체 추적은 이동물체의 추적 단계와 추적된 이동물체의 추적 단계로 나뉘는데 이동물체 추적을 위해서는 개선된 모션에너지 방법을 사용하였다. 이동물체 추적을 위해서는 이동물체 중심점의 이동위치를 거리와 방향정보를 이용, 예측함으로써 탐색공간을 줄여 실시간 추적이 가능하도록 하였다. 실험실에서 만든 모사 영상열과 실세계 영상열에 적용한 결과 겹침(occlusion)과 나타남(disocclusion)이 발생하는 경우에도 추적이 잘 이루어짐을 볼 수 있었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.383-388
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• 2005

Depth recovery in robot vision is an essential problem to infer the three dimensional geometry of scenes from a sequence of the two dimensional images. In the past, many studies have been proposed for the depth estimation such as stereopsis, motion parallax and blurring phenomena. Among cues for depth estimation, depth from lens translation is based on shape from motion by using feature points. This approach is derived from the correspondence of feature points detected in images and performs the depth estimation that uses information on the motion of feature points. The approaches using motion vectors suffer from the occlusion or missing part problem, and the image blur is ignored in the feature point detection. This paper presents a novel approach to the defocus technique based depth from lens translation using sequential SVD factorization. Solving such the problems requires modeling of mutual relationship between the light and optics until reaching the image plane. For this mutuality, we first discuss the optical properties of a camera system, because the image blur varies according to camera parameter settings. The camera system accounts for the camera model integrating a thin lens based camera model to explain the light and optical properties and a perspective projection camera model to explain the depth from lens translation. Then, depth from lens translation is proposed to use the feature points detected in edges of the image blur. The feature points contain the depth information derived from an amount of blur of width. The shape and motion can be estimated from the motion of feature points. This method uses the sequential SVD factorization to represent the orthogonal matrices that are singular value decomposition. Some experiments have been performed with a sequence of real and synthetic images comparing the presented method with the depth from lens translation. Experimental results have demonstrated the validity and shown the applicability of the proposed method to the depth estimation.

• 지능정보연구
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• 제8권2호
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• pp.1-13
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• 2002

본 논문에서는 연속적으로 입력되는 칼라영상에서 물체의 이동에 의하여 형성된 동작영역을 확인하고, 영상의 시컨스(sequence)를 대상으로 움직이는 물체의 형태인 보행자 혹은 자동차들의 이동방향을 추적하는 시스템을 제안하였다. 카메라가 고정되어 있고 물체가 이동하는 상황에서 카메라시계에 진입하는 물체를 포착하여, 포착된 물체의 영역을 차 영상 분석을 통해 이진화하여 추출하고, 추출된 영역을 co-occurrence matrix의 RGB full 칼라의 특징 벡터를 추출하는 것을 제시하였다 추출되어지는 칼라 특징벡터를 분석하여 인접 프레임간의 이동물체 영역끼리의 대응관계를 조사함으로서, 이동물체를 추적한다. 군집화(clustering) 단계에서는 이전 단계에서 추출한 특징 벡터들 가운데 에너지, 엔트로피만을 가지고 인접 프레임간의 군집화를 조사하기 위하여 이동물체 영역들 간의 퍼지동적물체 정합 알고리즘을 적용시켰다. 인접 프레임간의 움직임 영역의 물체들에 대하여 멤버 쉽 함수를 근거로 중심 값을 계산하면, 동일 물체일 경우 중심 값 부근에서 군집이 형성되며, 이를 바탕으로 이동물체를 추출할 수 있는 방안을 제안하였다.