• 제어로봇시스템학회논문지
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• 제16권8호
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• pp.756-760
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• 2010

In this paper, a new method to recognize various motions of fighting with an aid of HMM is proposed. There are four kinds of fighting motion such as hook, jab, uppercut, and straight as the fighting motion. The motion graph is generalized to define each motion in motion data and the new 3D-chain code is used to convert motion data to motion graphs. The recognition experiment has been performed with HMM algorithm on motion graphs. The motion data is captured by a motion capture system developed in this study and by five actors. Experimental results are given with relatively high recognition rate of at least 85%.

• 패션비즈니스
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• 제19권3호
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• pp.130-143
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• 2015

By studying 3-D virtual human modeling, motion-capturing and clothing simulation for easier and safer work clothes development, this research aimed (1) to categorize heavy manufacturing work motions; (2) to generate a 3-D virtual male model and establish painting work motions within a 3-D virtual clothing simulation system through computerized body scanning and motion-capturing; and finally (3) to suggest simulated clothing images of painting work clothes developed based on virtual male avatar body measurements by implementing the work motions defined in the 3-D virtual clothing simulation system. For this, a male subject's body was 3-D scanned and also directly measured. The procedures to edit a 3-D virtual model required the total body shape to be 3-D scanned into a digital format, which was revised using 3-D Studio MAX and Maya rendering tools. In addition, heavy industry workers' work motions were observed and recorded by video camera at manufacturing sites and analyzed to categorize the painting work motions. This analysis resulted in 4 categories of motions: standing, bending, kneeling and walking. Besides, each work motion category was divided into more detailed motions according to sub-work posture factors: arm angle, arm direction, elbow bending angle, waist bending angle, waist bending direction and knee bending angle. Finally, the implementation of the painting work motions within the 3-D clothing simulation system presented the virtual painting work clothes images simulated in a dynamic mode.

• 로봇학회논문지
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• 제1권2호
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• pp.180-187
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• 2006

This paper presents a new sensor system, CALOS, for motion estimation and 3D reconstruction. The 2D laser sensor provides accurate depth information of a plane, not the whole 3D structure. On the contrary, the CCD cameras provide the projected image of whole 3D scene, not the depth of the scene. To overcome the limitations, we combine these two types of sensors, the laser sensor and the CCD cameras. We develop a motion estimation scheme appropriate for this sensor system. In the proposed scheme, the motion between two frames is estimated by using three points among the scan data and their corresponding image points, and refined by non-linear optimization. We validate the accuracy of the proposed method by 3D reconstruction using real images. The results show that the proposed system can be a practical solution for motion estimation as well as for 3D reconstruction.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.207-209
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• 2017

새로운 기술인 3D 프린팅 기술은 신속한 개발 및 상대적으로 성숙한 기술 산업이 되었다. 오늘날 3D 프린팅은 작업의 모든 단계에 적용된다. 3D 프린팅 모델의 사용뿐만 아니라 빠른 형성, 그리고 정확도가 매우 높다. 급속히 발전한 3D 프린팅 기술이 스톱모션 애니메이션에 적용되면서 스톱모션 애니메이션 분야는 더울 풍부하게 발전 할 뿐만 아니라 새로운 기술과 기존 예술과 완벽하게 융합되는 것을 알 수 있다. 스톱모션 애니메이션의 개발에서 우리는 혁신으로서 3D 프린팅 및 전통적인 스톱모션 애니메이션 통합, 스톱모션 애니메이션에 적용된 스톱모션 애니메이션 제작 과정 및 제작을 이해해야한다. 멀티레벨, 멀티 앵글로 특성을 탐구하고, 스톱모션 애니메이션의 예술 형식을 바꾸어야 한다. 스톱모션 애니메이션을 제작할 때 이제는 3D 프린팅의 장점이 그 어느 분야 보다 돋보인다.

• 한국컴퓨터정보학회논문지
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• 제20권9호
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• pp.39-45
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• 2015

Along with the advance of digital technology, various methods are adopted for capturing the 3D animating data. Especially, in 3D animation production market, the motion capture system is widely used to make films, games, and animation contents. The technique quickly tracks the movements of the actor and translate the data to use as animating character's motion. Thus the animation characters are able to mimic the natural motion and gesture, even face expression. However, the conventional motion capture system needs tricky conditions, such as space, light, number of camera etc. Furthermore the data acquired from the motion capture system is frequently corrupted by noise, drift and surrounding environment. In this paper, we introduce the post production techniques to stabilizing the jitters of motion capture data from the low cost handy system based on Kinect.

• 한국컴퓨터그래픽스학회논문지
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• 제29권3호
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• pp.59-67
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• 2023

본 논문은 몸체 3D 스캔과 모션 캡처 장비를 활용한 3D 애니메이션 형태의 바디 프로필을 제안한다. 사용자는 미리 정해진 몇 개의 포즈에 대하여 3D 스캔을 수행함으로써 애니메이션 형태를 가진 자신만의 바디 프로필을 제작할 수 있다. 이를 위하여 일련의 포즈를 수행하는 템플릿 애니메이션을 모션 캡처를 통하여 획득하였고, 사용자로부터 획득된 3D 스캔 데이터를 애니메이션의 각 정점 포즈에 포즈 공간 디포머(Pose-space deformer)를 통하여 매핑시켰다. 이를 통하여 만들어진 3D 애니메이션 형태의 바디 프로필은 기존의 정적인 2D 이미지나 3D 스캔데이터보다 사용자에게 더 큰 만족도를 줄 수 있음을 확인할 수 있다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.714-718
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• 2009

3D reconstruction of a human face from an image sequence remains an important problem in computer vision. We propose a method, based on a factorization algorithm, that reconstructs a 3D face model from short image sequences exhibiting rotational motion. Factorization algorithms can recover structure and motion simultaneously from one image sequence, but they usually require that all feature points be well tracked. Under rotational motion, however, feature tracking often fails due to occlusion and frame out of features. Additionally, the paucity of images may make feature tracking more difficult or decrease reconstruction accuracy. The proposed 3D reconstruction approach can handle short image sequences exhibiting rotational motion wherein feature points are likely to be missing. We implement the proposal as a reconstruction method; it employs image sequence division and a feature tracking method that uses Active Appearance Models to avoid the failure of feature tracking. Experiments conducted on an image sequence of a human face demonstrate the effectiveness of the proposed method.

• 대한전자공학회논문지SP
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• 제43권3호
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• pp.68-75
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• 2006

본 논문에서는 인간의 시각 특성(Human Visual System)과 3D-DCT(Three Dimensional Discrete Cosine Transform) 블록 특성을 이용한 적응적인 비디오 워터마킹 방법을 제안한다. 3D-DCT 계수들의 분포에 따라 3D-DCT 블록을 움직임과 텍스쳐 모두 있는 블록, 움직임은 거의 없고 텍스쳐만 있는 블록, 움직임과 텍스쳐 모두 거의 없는 블록 등 3가지 패턴으로 분류한다. 또한 분류된 3D-DCT 블록의 패턴 비율에 따라 영상을 움직임과 텍스쳐 모두 있는 영상, 움직임은 거의 없고 텍스쳐만 있는 영상, 움직임과 텍스쳐 모두 거의 없는 영상 등 3가지 타입으로 분류한다. 제안된 워터마크 삽입 방법은 분류된 3D-DCT 블록패턴과 영상 타입에 따라 적응적으로 학습된 민감도 테이블과 비례 상수를 이용하여 입력 비디오 영상의 3D-DCT 중간 대역 계수에 적응적으로 워터마크를 삽입한다. 실험 결과들은 제안된 방법이 투명성과 강건성에서 이전 방법보다 우수함을 보인다.

• 로봇학회논문지
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• 제12권1호
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• pp.78-85
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• 2017

This paper presents the development of a 3D printer based piezo-driven vertical micro-positioning stage. The stage consists of two flexure bridge structures which amplify and transfer the horizontal motion of the piezo-element into vertical motion of the end-effector. The stage is fabricated with ABS material using a precision 3D printer. This enables a one-body design eliminating the need for assembly, and significantly increases the freedom in design while shortening fabrication time. The design of the stage was optimized using response surface analysis method. Experimental results are presented which demonstrate 100nm stepping in the vertical out-of-plane direction. The results demonstrate the future possibilities of applying 3D printers and ABS material in fabricating linear driven motion stages.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2005년도 춘계 학술발표대회 논문집
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• pp.70-71
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• 2005