• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.551-554
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• 2000

Alignment system is a system to locate an object to it's accurate position in multi-d.o.f space. According to process of application, it is need to align an object in 3 or 6 d.o.f. space. And alignment system is used in various environments. Especially in PDP application, alignment process is carried out in vaccume environment. In this paper, we developed 3 d.o.f. alignment system for vaccume environment, performed kinematic analysis and improved it's positional accuracy.

• 국제물리치료학회지
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• 제10권2호
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• pp.1797-1802
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• 2019

Background: Breathing is the essential step of Pilates exercise and can be used to activate core muscles. Although the effects of breathing exercise on pain, breathing muscles, and cervical posture have been extensively studied, little is known about the impact of Pilates breathing on spinal posture and alignment. Purpose: To determine the effect of 3D-Pilates breathing exercise on spinal curvature and alignment of healthy adults during corrected to normal alignment. Design: One group pre-post test design Methods: Eighteen participants were given a 3D-pilates breathing exercise twice a week (20 minutes per session) for three weeks and warmed up for 10 minutes before each exercise session. To examine spinal curvature and alignment of each subject, this study used radiation free rasterstereography (Formetric III, Germany). Paired t-test and Wilcoxon signed rank test were performed to determine the difference between pre and post exercise. Results: There were statistically significant differences in height (p<.001), kyphosis angle (p<.05), trunk imbalance (p<.05), kyphotic apex (p<.01), cervical fleche (p<.05), pelvic tilt (p<.01), and lateral deviation (p<.05) between before and after 3D Pilates breathing exercise. However, there was no significant difference in lordosis angle. Conclusions: The study results indicated that three week 3D-pilates breathing exercise program could be presented as an effective rehabilitation method for improving spinal curvature and alignment.

• 한국CDE학회논문집
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• 제13권6호
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• pp.403-411
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• 2008

The alignment of facial images is crucial for 2D face recognition. This is the same to facial meshes for 3D face recognition. Most of the 3D face recognition methods refer to 3D alignment but do not describe their approaches in details. In this paper, we focus on describing an automatic 3D alignment in viewpoint of quantitative analysis. This paper presents a framework of 3D face alignment and normalization based on feature points obtained by Active Shape Models (ASMs). The positions of eyes and mouth can give possibility of aligning the 3D face exactly in three-dimension space. The rotational transform on each axis is defined with respect to the reference position. In aligning process, the rotational transform converts an input 3D faces with large pose variations to the reference frontal view. The part of face is flopped from the aligned face using the sphere region centered at the nose tip of 3D face. The cropped face is shifted and brought into the frame with specified size for normalizing. Subsequently, the interpolation is carried to the face for sampling at equal interval and filling holes. The color interpolation is also carried at the same interval. The outputs are normalized 2D and 3D face which can be used for face recognition. Finally, we carry two sets of experiments to measure aligning errors and evaluate the performance of suggested process.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.1393-1398
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• 2009

We once have announced that we developed a horizontal large-area alignment system with an alignment accuracy of < ${\pm}3{\mu}m$ and an alignment time of < 30 seconds, a core process module for RGB direct pattering by using a fine metal mask, which can process a Gen 4 ($730{\times}920mm^2$) substrate for high resolution OLED products. In this article, we presents a brand-new vertical alignment system for a even larger substrate of Gen 5 and beyond which can provide a better alignment accuracy and a higher throughput. The newly developed system exhibits an alignment accuracy of < ${\pm}2{\mu}m$ and an alignment time of < 20 seconds which, we believe, can open a new era for manufacturing large-size OLED monitors and TVs.

• The Journal of Korean Physical Therapy
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• 제15권3호
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• pp.1-15
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• 2003

The purpose of this study was to evaluate the change of lower extremity alignment according to plantar surface compliance in standing status. The thirty normal adults (15 men and 15 women) aged between 20 and 29 were assigned to 3 groups: control group, experimental groups (AHPS group, ASPH group). The lower extremity alignment was examined before and after adaptation with corresponding foam types. The results of this study were as follows : 1. As the result of comparing lower extremity alignment before and after test of the control group which any change did not exist in plantar surface compliance, there were not significant differences in the angle A, B, C, D, E of right and left(p>0.05). 2. As the result of comparing lower extremity alignment before and after test of the AHPS group which forefoot part of plantar surface is hard and rear foot part is soft, there were not significant differences in the angle A of right and left(p>0.05). But, there were significantly decreased in the angle B, C, D, E of right and left(p<0.05). 3. As the result of comparing lower extremity alignment before and after test of the ASPH group which forefoot part of plantar surface is soft and rear foot part is hard, there were not significant differences in the angle A of right and left(p>0.05). But, there were significantly increased in the angle B, C, D, E of right and left(p<0.05). 4. As the result of comparing lower extremity alignment of the control group, AHPS group and ASPH group, there were not significant differences in the angle A, B, C, D, E of right and left before test(p>0.05). But, there were significant differences in the angle C, D of right and left after test(p<0.05).

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.1006-1011
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• 2007

Active Appearance Models은 객체의 모델링에 널리 사용되며, 특히 얼굴 모델은 얼굴 추적, 포즈 인식, 표정 인식, 그리고 얼굴 인식에 널리 사용되고 있다. 최초의 AAM은 Shape과 Appearance가 하나의 계수에 의해서 만들어 지는 Combined AAM이였고, 이후 Shape과 Appearance의 계수가 분리된 Independent AAM과 3D를 표현할 수 있는 Combined 2D+3D AAM이 개발 되었다. 비록 Combined 2D+3D AAM이 3D를 표현 할 수 있을지라도 이들은 공통적으로 2D 영상을 사용하여 모델을 생산한다. 본 논문에서 우리는 stereo-camera based 3D face capturing device를 통해 획득한 3D 데이터를 기반으로 하는 3D AAM을 제안한다. 우리의 3D AAM은 3D정보를 이용해 모델을 생산하므로 기존의 AAM보다 정확한 3D표현이 가능하고 Alignment Algorithm으로 Inverse Compositional Image Alignment(ICIA)를 사용하여 빠르게 Model Instance를 생산할 수 있다. 우리는 3D AAM을 평가하기 위해 stereo-camera based 3D face capturing device로 촬영해 수집한 한국인 얼굴 데이터베이스[9]로 얼굴인식을 수행하였다.

• 한국정밀공학회지
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• 제18권11호
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• pp.138-147
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• 2001

Alignment systems are frequently used under various semiconductor manufacturing environment. Particularly in PDP(Plasma Display Panel) manufacturing process, the alignment system is applied to the combining and sealing processes of the upper and lower glass panels of PDP, where these processes are performed in the vacuum chamber of high vacuum and high temperature. In this paper, the XYΘ-alignment stage is developed to align PDP panels. Because of high vacuum and high temperature environment, the alignment chamber has been designed to isolate the inner part of the alignment chamber from the outer environment of high vacuum and high temperature, in which every part of the alignment stage is inserted. As it is difficult to attach feedback sensors to the alignment stage in the alignment chamber, the alignment stage is implemented with the open loop algorithm, where the parallel link structure has been designed using step-motors and ball-screws for structural simplicity. The kinematic analysis is performed to drive the parallel link structure, based on the experiments of actuation-compensation of the alignment stage. For the error compensation, the hyperpatch model has been used to model the errors. From the experiments, the positional accuracy of the alignment stage can be improved significantly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.4903-4929
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• 2018

In this study, a fully automatic pose and expression invariant 3D face alignment algorithm is proposed to handle frontal and profile face images which is based on a two pass course to fine alignment strategy. The first pass of the algorithm coarsely aligns the face images to an intrinsic coordinate system (ICS) through a single 3D rotation and the second pass aligns them at fine level using a minimum nose tip-scanner distance (MNSD) approach. For facial recognition, multi-view faces are synthesized to exploit real 3D information and test the efficacy of the proposed system. Due to optimal separating hyper plane (OSH), Support Vector Machine (SVM) is employed in multi-view face verification (FV) task. In addition, a multi stage unified classifier based face identification (FI) algorithm is employed which combines results from seven base classifiers, two parallel face recognition algorithms and an exponential rank combiner, all in a hierarchical manner. The performance figures of the proposed methodology are corroborated by extensive experiments performed on four benchmark datasets: GavabDB, Bosphorus, UMB-DB and FRGC v2.0. Results show mark improvement in alignment accuracy and recognition rates. Moreover, a computational complexity analysis has been carried out for the proposed algorithm which reveals its superiority in terms of computational efficiency as well.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.273-277
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• 2003

A general process of electronic assembly is composed of a series of geometric alignments and bonding/screwing processes. After assembly, the function is tested in a following process of inspection. However, assembly of micro-optic devices requires both processes to be performed in equipment. Coarse geometric alignment is made by using vision and optical function is improved by the following fine motion based on feedback of tunable laser interferometer. The general system is composed of a precision robot system for 3D assembly, a 3D vision guided system for geometric alignment and an optical feedback system with a tunable laser. In this study, we propose a new fast alignment algorithm of micro-optic devices for both of visual and optical alignments. The main goal is to find a fastest alignment process and algorithms with state-of-the-art technology. We propose a new approach with an optimal sequence of processes, a visual alignment algorithm and a search algorithm for an optimal optical alignment. A system is designed to show the effectiveness and efficiency of the proposed method.

• 대한토목학회논문집
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• 제34권2호
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• pp.677-685
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• 2014

최근 건설 산업은 BIM (Building Information Modeling)의 도입으로 인하여 많은 혜택을 얻고 있다. 하지만 도로나 철도와 같은 선형기반 설계공종의 경우는 구간별 표준횡단면의 정의와 선형의 배치를 통한 서피스(surface)모델을 생성함으로써 3차원 설계가 이루어지나, 현재 설계 소프트웨어에서 제공되는 횡단면 설계요소가 제한적이거나 국내실정에 맞지 않은 점이 많고, 생성된 서피스모델은 선형구간의 시 종점에 대해 일체화 되어있어 공정, 물량, 단가 등의 BIM 소요정보와 세분화된 연계를 위해서는 모델 수정 등의 많은 후속작업이 필요하다. 본 논문에서는 이러한 문제점을 해결하기 위하여 3D 선형기반설계가 적용되는 사회기반시설물을 대상으로 3차원 모델의 분절 및 속성정보의 운용이 자유로운 '선형기반 인프라시설물을 위한 Flexible BIM 시스템'의 설계를 통하여 BIM의 활용성을 극대화 하는 것을 목표로 한다.