• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.1124-1128
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• 1995

This paper presents the appplication of computer vision for the purpose of determing the position of the unknown point in the plane. The presented contrik method is estimate the six view parameters reqresenting the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining of position the unknown point in the plane.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.7 no.2
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• pp.62-68
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• 1998

This paper presents the application of computer vision for the purpose of determining the position of the unknown object in the plane. The presented control method is to estimate the six view parameters representing the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining position of the unknown object in the plane.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.103-108
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• 2022

In this paper, we propose a new image analysis method based on regression manifold 3-D PCA. The proposed method is a new image analysis method consisting of a regression analysis algorithm with a structure designed based on an autoencoder capable of nonlinear expansion of manifold 3-D PCA and PCA for efficient dimension reduction when entering large-capacity image data. With the configuration of an autoencoder, a regression manifold 3-DPCA, which derives the best hyperplane through three-dimensional rotation of image pixel values, and a Bayesian rule structure similar to a deep learning structure, are applied. Experiments are performed to verify performance. The image is improved by utilizing the fine dust image, and accuracy performance evaluation is performed through the classification model. As a result, it can be confirmed that it is effective for deep learning performance.

• Cartoon and Animation Studies
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• s.33
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• pp.31-53
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• 2013

In the early twentieth century, history of animation began by modern artists, they produced various experimental images with the newly invented film and cameras. Artists in the field of movie, photography, paintings and others manipulated images in motion. But as some animated movies won industrial success and popularity, they became the trend but experimental style of early animation preserved by so-called non-mainstreamers or experimental animators, counteracting commercialism. Disney animation also followed the trend by applying realistic Hollywood film style, the worse critics placed a low value on the animation and it tarnished the image, although it was profitable investment from a business standpoint. To make images realistic, they opened a drawing class that animators developed skills to imitate motions and forms from subjects in real life. Also some techniques and gizmos were used to mimic and simulate three dimensional objects and spaces, multiplane camera and compositing 3D CG images with 2D drawings. Moreover, they brought animation stories from fairly tales or folk tales, and Walt's personal interest in live-action movies, they applied Hollywood-film-like narratives and realistic visual, and harsh criticism ensued. On the surface early disney animations' potential seems to be weakened, but in reality it still exists by simplifying and exaggerating forms and color as modern arts. Disney animation employs concepts of the modernism paintings such as simplified shapes and colors to a character design, when their characters are placed together in a scene, that visual elements cause mental reaction. This modification gives a new internal experience to audiences. As conceptual colors in abstract paintings make images appeared to be flat, coloring characters with no shading make them look flat and comparing to them, background images are also appeared to be flat. On top of that, multi-perspective at background images recalls modernist paintings. This essay goes in details with the animation pioneers' works and how Disney animation developed its techniques to emulate real life and analyses color schemes, forms, and spaces in Disney animation compared with modern artists' works, in that the visual language of Disney animation reminds of impression from abstract paintings in the beginning of the twentieth centuries.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.50-61
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• 2000

Recently the stereo vision based on conics has received much attention by many authors. Conics have many features such as their matrix expression, efficient correspondence checking, abundance of conical shapes in real world. Extensions to higher algebraic curves met with limited success. Although irreducible algebraic curves are rather rare in the real world, lines and conics are abundant whose products provide good examples of higher algebraic curves. We consider plane algebraic curves of an arbitrary degree $n{\geq}2$ with a fully calibrated stereo system. We present closed form solutions to both correspondence and reconstruction problems. Let $f_1,\;f_2,\;{\pi}$ be image curves and plane and $VC_P(g)$ the cone with generator (plane) curve g and vertex P. Then the relation $VC_{O1}(f_1)\;=\;VC_{O1}(VC_{O2}(f_2)\;∩\;{\pi})$ gives polynomial equations in the coefficient $d_1,\;d_2,\;d_3$ of the plane ${\pi}$. After some manipulations, we get an extremely simple polynomial equation in a single variable whose unique real positive root plays the key role. It is then followed by evaluating $O(n^2)$ polynomials of a single variable at the root. It is in contrast to the past works which usually involve a simultaneous system of multivariate polynomial equations. We checked our algorithm using synthetic as well as real world images.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.1044-1047
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• 1998

Non-destructive x-ray inspection system needs image intensifier to obtain the x-ray image. Captured image from image intensifier is distorted because the input plate of image intensifier has a spherical surface. In the research, in order to compensate this image distortion, we created the model of image intensifier and show mathematically that the image distortion was compensated. To show the performance of the proposed method, experiment was performed in real x-ray inspection system.

• Korean Institute of Interior Design Journal
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• no.38
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• pp.125-133
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• 2003

The apartment house is one of the representative housing types in Korea. However, it has not met the diverse and individualized needs of their residents. This study was intended to identify the residents' preference of interior design in apartment houses and suggest the guidelines for the diversity of Intoner design In apartments. The subjects were 412 apartment residents who lived in Haeundae, Busan. They were asked about their preference for interior images of each room and finishing materials. The findings were as follows. 1) The apartment interior images were composed of nine main factors. 2) The residents preferred to 'practical' interior image in apartment and different interior images for each room. 3) The residents preferred interior images were different by their housing sizes and space organization types. 4) The residents preferred to different finishing materials for each room..

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.214-215
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• 2012

본원적 큐브란 사용자의 얼굴을 다각면에서 추출하여 주성분분석(PCA: Principal component analysis)을 통해 다차원 정보를 통합하여 큐브형태로 표현된 것을 의미한다. 두 눈의 연결점과 입의 연결점을 이은 후 그 둘의 법선벡터를 얼굴의 방향으로 표현하는 것으로써 평면 사진에 얼굴방향을 부여한다. 그럴 경우 동일인물의 다양한 사진들을 모았을 경우 각 사진들이 얼굴방향을 달리하는 사진큐브로 표현될 수 있다. 이로써 기존에는 얼굴방향이 다른 동일인물의 사진을 정확하게 구분해 낼 수 없던 한계를 뛰어넘을 수 있다. 또한 큐브는 방향이 조금씩 다른 모든 사진을 저장할 필요가 없으므로 저장공간이 크게 절감되는 장점이 있다. 또한 단체 사진에서 개인의 이미지를 추출한 뒤 본 연구의 큐브와 매칭시켜 인물을 탐색하거나 소유한 이미지를 공유하는 기법을 포함한다. 결과적으로 큐브를 활용하여 효과적으로 인물탐색이 가능 해지는 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.951-954
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• 2014

본 논문에서는 3 차원 이미지 시장은 현재 영상 산업, 게임 산업 등 그래픽 분야에서 상당히 주목 받고 있다. 인력과 시간을 낭비하지 않는 3 차원 복원 이론 중 볼륨 카빙의 새로운 기법을 제안하여, 그 성능을 분석하고 다른 여러 이론과의 차이점과 시장 접목 가능성, 효율성을 고찰해 보고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.361-362
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• 2019

조선시대 반차도는 왕실 행차에 관한 배열을 나타낸 시각자료이다. 반차도는 구성요소를 평면적이고 간략하게 표현했기 때문에 전문적인 지식이 없는 일반 관람객이 왕실 행차의 내용을 파악하기는 쉽지 않았다. 기존 왕실 행차와 관련된 콘텐츠는 모니터 상에서 2D 이미지를 애니메이션으로 상영하거나 간단한 조작을 통해 3D 콘텐츠를 감상하는 방식으로 재현되었다. 그러나 공간적으로 한정된 모니터를 통해 관람해야 했기 때문에 행렬의 전체적인 모습을 충분히 전달하지 못하는 단점이 있었다. 본 논문에서는 3D 객체를 반차도에 직접 증강시킴으로써 기존 콘텐츠의 문제를 극복하고 왕실 행차에 관한 정확하고 구체적인 이미지를 전달하고자 한다. 이 연구를 통해 관람객에게 문화유산에 관한 높은 품질의 경험을 제공할 수 있을 것으로 기대한다.