• 한국멀티미디어학회논문지
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• 제10권10호
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• pp.1240-1250
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• 2007

본 논문은 2D 애니메이션 캐릭터의 자동 색 지정을 위하여 애니메이션 장면간의 캐릭터 색 변환 기술에 대해 제안한다. 사람이 지각하는 색은 조명이 달라지면 다른 색으로 지각된다. 이와 마찬가지로 애니메이션 장면에 등장하는 캐릭터도 의상, 피부 등의 색이 장면 분위기에 따라 각각 다르게 지정되고 있다. 본 논문은 이러한 2D 애니메이션 장면간의 캐릭터 색 지정을 수작업에 의존하지 않고 수학적으로 해결하기 위해 시도한 것으로써 조명에 따른 색 원리를 이용하여 장면간의 캐릭터 색 변환을 위한 행렬을 유도하였다. 이 색 변환행렬은 애니메이션 장면마다 각각 구해지는데, 기존의 2D 애니메이션에 등장하는 동일캐릭터의 기본색과 각 장면속의 색을 이용해서 구해진다. 이렇게 구한 색 변환행렬은 어떠한 캐릭터의 기본색만 주어진다면 다양한 장면 분위기와 잘 어울리는 색으로 변환이 가능해진다.

• 한국멀티미디어학회논문지
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• 제11권9호
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• pp.1286-1295
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• 2008

기존의 2D 애니메이션에 나타나는 캐릭터 색은 아트 디렉터의 주관적 색감에 의해 지정되고 있는데 장면의 분위기가 달라지면 동일 캐릭터일지라도 지정되는 색이 다르게 된다. 본 논문에서는 2D 애니메이션 각 장면마다의 캐릭터 색을 자동 생성할 뿐 아니라 아트 디렉터의 주관적 색감을 재현하기 위해 비선형시스템인 신경회로망을 이용하여 캐릭터 색을 자동적으로 변환하는 모델을 제안하였다. 구체적으로, 기존의 2D 애니메이션 장면에 있는 캐릭터 색을 활용하여 캐릭터의 기본색이 각 장면마다 달라지는 것을 신경회로망으로 학습시켜 어떠한 캐릭터 일지라도 기본색 만 주어진다면 그 장면 분위기에 잘 어울리는 색을 자동으로 변환하는 것이 가능하도록 하였다. 그리고 애니메이션 색채전문가들의 평가를 통해 다양한 장면에서 자동 변환된 캐릭터 색에 대한 자연스러움의 정도를 검증함으로써 본 연구에서 제안한 장면에 따른 캐릭터 색의 자동변환 시스템의 타당성을 입증하였다.

• 전자공학회논문지CI
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• 제46권2호
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• pp.92-99
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• 2009

본 논문에서는 교통 신호등 영역 검출을 포함한 교통 신호등 외곽 부분과 신호등 색을 자동으로 판별하여 사용자에게 알려주는 교통 신호등 자동 판별 시스템 구현을 제안하였다. 본 논문은 교통 신호등색을 정확하게 검출하기 위하여 교통 신호등색에 해당하는 파장 범위를 설정하고, 색상 성분을 분할하였다. 색상 성분을 통해 교통 신호등색(빨강 주황 녹색)을 검출하며 배경부분은 그레이 영상으로 변환한다. 다음으로 웨이브렛 변환 알고리즘을 사용하여 다양한 환경에서 신호등 영역을 검출할 수 있는 알고리즘을 제안하였다. 또한, 교통 신호등 인식 부분은 CBIR(Content-Based Image Retrieval)기반에서 캐니 에지 연산자와 허도로프 매칭 알고리즘의 특성을 적용한 인식 알고리즘을 제안하였다. 제안된 알고리즘은 교통 신호등이 첨가되어 있는 조명, 배경 등이 다양한 영상을 대상으로 실험하며, 기존 알고리즘과 비교하여 제안 알고리즘의 성능이 향상되었음을 확인하였다.

• 대한가정학회지
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• 제50권7호
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• pp.67-79
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• 2012

This study analyzed the characteristics of morphing in fashion design through the documentaries on morphing and fashion. The characteristics of morphing in fine art, media, and design area were categorized as reversible metamorphosis, sequential dissolve and blurring of interpolation boundaries. The results were as follow in fashion design. Reversible metamorphosis showed an automatic silhouette transformation by remote control, the metamorphosis of folding method by wearer's own movements and the automatic silhouette transformation by the air pressurizing method. It represented the thoughts of omnipotence as in the feeling of the magical world, the human desire for control in life, the rationalization of magical thinking and imaginative power, the creation of a new dress space and the extension of dress function. Sequential dissolve showed juxtaposition in the same area by the time order, juxtaposition in virtual space through the computer graphics, the series of fashion photography by steel cut of the dress making process and the blending of digital film and fashion design. It represented the approach for the storytelling of fashion show, implication of creative fashion design process and the creation of organic forms and the feeling of fantasy through artificial technology. The blurring of interpolation boundary showed an overlay of different fabrics with transparent boundaries, an overlay of different patterns with transparent boundaries and the blending of fabrics through the visual mixing of color. It represented the obfuscation of the object, the connotation of the space order, the connotation of the extensive and various meanings and the integrative property of objects.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.877-880
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• 2000

In this paper, we develop an algorithm of soccer image sequences mosaicing using reverse affine transform. The continuous mosaic images of soccer ground field allows the user/viewer to view a “wide picture” of the player’s actions The first step of our algorithm is to automatic detection and tracking player, ball and some lines such as center circle, sideline, penalty line and so on. For this purpose, we use the ground field extraction algorithm using color information and player and line detection algorithm using four P-rules and two L-rules. The second step is Affine transform to map the points from image to model coordinate using predefined and pre-detected four points. General Affine transformation has many holes in target image. In order to delete these holes, we use reverse Affine transform. We tested our method in real image sequence and the experimental results are given.

• 전기학회논문지P
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• 제55권2호
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• pp.103-109
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• 2006

In this paper, the detection scheme of the spatial coordinates based on stereo camera for a intelligent path planning of an automatic mobile robot is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity mad obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene. and an image plane, depth information can be detected. Finally, based-on the analysis of these calculated coordinates, a mobile robot system is derived as a intelligent path planning and a estimation.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.318-324
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• 2000

Ultrasonic and magnetic resonance imaging systems are used to visualize the interior states of biological objects. These nondestructive methods have many advantages but too much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get the interior and exterior information, constructing 3D image from the series of the sliced sectional images gives more useful information with relatively low cost. In this paper, PC based automatic 3D model generator was developed. The system was composed of three modules. One is the object handling and image acquisition module, which feeds and slices objects sequentially and maintains the paraffin cool to be in solid state and captures the sectional image consecutively. The second is the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last is the image processing and visualization module, which processes a series of acquired sectional images and generates 3D graphic model. The handling module was composed of the gripper, which grasps and feeds the object and the cutting device, which cuts the object by moving cutting edge forward and backward. Sliced sectional images were acquired and saved in the form of bitmap file. The 3D model was generated to obtain the volumetric information using these 2D sectional image files after being segmented from the background paraffin. Once 3-D model was constructed on the computer, user could manipulate it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• Agricultural and Biosystems Engineering
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• 제1권2호
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• pp.95-99
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• 2000

Nondestructive methods such as ultrasonic and magnetic resonance imaging systems have many advantages but still much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get interior and exterior informations, constructing 3D image form a series of slices sectional images gives more useful information with relatively low cost. In this paper, a PC based automatic 3D model generator was developed. The system was composed of three modules. The first module was the object handling and image acquisition module, which fed and sliced the object sequentially and maintains the paraffine cool to be in solid state and captures the sectional image consecutively. The second one was the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last was the image processing and visualization module, which processed a series of acquired sectional images and generated 3D volumetric model. Handling module was composed of the gripper, which grasped and fed the object and the cutting device, which cuts the object by moving cutting edge forward and backward. sliced sectional images were acquired and saved in a form of bitmap file. 2D sectional image files were segmented from the background paraffine and utilized to generate the 3D model. Once 3-D model was constructed on the computer, user could manipulated it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• 한국콘텐츠학회논문지
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• 제13권4호
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• pp.452-458
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• 2013

본 논문에서는 시각장애인에게 다양한 영상정보를 보다 손쉽게 제공하기 위하여 시각장애인의 인지특성을 기반으로 기존 영상자료를 촉각지도 정보로 자동 변환하는 방법을 제안한다. 제안하는 방법에서는 일반 교과서에 수록된 컬러영상의 밝기값 히스토그램을 분석하여 저복잡도 및 고복잡도 영상으로 분류하고, 이를 각 영상 종류에 적합한 서로 다른 변환과정을 적용하여 시각장애인이 인지할 수 있는 촉각지도 정보로 자동 변환한다. 실험 평가에서는 제안한 자동 변환 방법으로 생성된 촉각지도와 수동으로 생성된 기존 점자교과서의 촉각지도들을 가지고 전맹 시각장애인 5인을 대상으로 인지율과 만족도를 평가하는 실험을 수행하였다. 실험결과 제안한 방법으로 생성된 촉각지도에 대한 인지율과 만족도가 기존 점자교과서의 촉각지도에 대한 것들과 매우 유사하였다. 따라서 시각장애인을 위한 교육자료 제작의 시간과 비용을 획기적으로 절감할 수 있으며, 또한 교육자료 내에 영상자료를 보다 손쉽게 많이 추가하여 교육효과를 크게 향상시킬 수 있다.

• Journal of Biosystems Engineering
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• 제26권6호
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• pp.545-552
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• 2001

Nondestructive methods such as ultrasonic and magnetic resonance imaging systems have many advantages but still much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct a biological object to obtain interior and exterior informations, 3D image visualization model from a series of sliced sectional images gives more useful information with relatively low cost. In this paper, a PC based automatic 3D visualization system is presented. The system is composed of three modules. The first module is the handling and image acquisition module. The handling module feeds and slices a cylindrical shape paraffin, which holds a biological object inside the paraffin. And the paraffin is kept being solid by cooling while being handled. The image acquisition modulo captures the sectional image of the object merged into the paraffin consecutively. The second one is the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last one is the image processing and visualization module, which processes a series of acquired sectional images and generates a 3D volumetric model. To verify the condition for the uniform slicing, normal directional forces of the cutting edge according to the various cutting angles were measured using a strain gauge and the amount of the sliced chips were weighed and analyzed. Once the 3D model was constructed on the computer, user could manipulate it with various transformation methods such as translation, rotation, and scaling including arbitrary sectional view.