• Title/Summary/Keyword: Brush Stroke Generation

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MHN Filter-based Brush Stroke Generation for Painterly Rendering (회화적 렌더링을 위한 MHN 필터 기반 브러시 스트로크 생성기법)

  • Seo, Sang-Hyun;Yoon, Kyung-Hyun
    • Journal of Korea Multimedia Society
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    • v.9 no.8
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    • pp.1045-1053
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    • 2006
  • We introduce a new method of painterly rendering. Instead of using the gradient direction of the source image to generate a brush stroke, we extract regions that can be drawn in one stroke using MHN filtering followed by identification of connected components, and make a brush stroke from each, based on an approximation to the medial axis. This method results in realistic-looking brush strokes of varying width that have an irregular directions where necessary.

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Edge Based Dynamic Brush Stroke Generation for Painterly Rendering (회화적 렌더링을 위한 에지 기반 동적 브러시 스트로크 생성에 관한 연구)

  • Park Youngsup;Yoon Kyunghyun
    • Journal of Korea Multimedia Society
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    • v.8 no.2
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    • pp.164-173
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    • 2005
  • Painterly rendering may bring various results through the parameters that determine the characteristics of brush strokes such as, color, orientation, size, and shape. In this paper, we propose the most adaptive brush stroke generation for source images, using reference data. Our algorithm used Colors formed by actual palette colors from artists. To create the palette, we have referred mostly to colors used in Van Gogh's works and determined the color of brush strokes by transferring it to the most similar one, through comparing colors used in source images and the palette colors. Also, In order to emulate a brush stroke with dynamic properties like Van Gogh styles we have applied a brush stroke orientation that surrounds the edges by referring to the edge orientation of source images. The sizes were determined depending on the different sizes of the objects from wide to narrow brushes. Finally, we applied spline curve shapes to simulate curves and swirls like Van Gogh styles. The brush strokes created in such method, were applied separately according to its segmented images, and composed after rendering.

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A Study on the Dynamic Painterly Stroke Generation for 3D Animation (3차원 애니메이션을 위한 회화적 스트로크의 동적 관리 기법)

  • Lee, Hyo-Keun;Ryoo, Seung-Taek;Yoon, Kyung-Hyun
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.554-568
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    • 2005
  • We suggest the dynamic stroke generation algorithm that provides frame-to-frame coherence in 3D non-photorealistic animations. We use 3D particle system to eliminate the visual popping effect in the animated scene. Since we have located particles on the 3D object's surface, the coherence is maintained when the object or the camera is moving in the scene. Also, this algorithm maintains the coherence when camera is zooming in/out. However, the brush strokes on the surface also zoom in/out. This result(too large or too small brush strokes) can not represent hand-crafted brush strokes. To remove this problem, we suggest stroke generation algorithm that dynamically maintains the number of brush stroke and its size during camera zoom in/out.

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Painterly Stroke Generation using Object Motion Analysis (객체의 움직임 해석을 이용한 회화적 스트로크 생성 방법)

  • Lee, Ho-Chang;Seo, Sang-Hyun;Ryoo, Seung-Tack;Yoon, Kyung-Hyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.37 no.4
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    • pp.239-245
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    • 2010
  • Previous painterly rendering techniques normally use image gradients for stroke generation. Although image gradients are useful for expressing object shapes, it is difficult to express the flow or movements of objects of objects. In real painting, the use of brush strokes corresponding to the actual movement of objects allows viewers to recognize objects’ motion better and express the liveliness of the objects much more. In this paper, we propose a novel painterly stroke generation algorithm to express dynamic objects based on their motion information. We first extract motion information (magnitude, direction) of a scene from a set of image sequences from the same view. Then the motion directions are used for determining stroke orientations in the regions with significant motions. Where little motion is observed, image gradients are used for determining stroke orientations. Our algorithm is useful for realistically and dynamically representing moving objects.

A Study of Brush Stroke Generation Using Color Transfer (칼라변환을 이용한 브러쉬 스트로크의 생성에 관한 연구)

  • Park, Young-Sup;Yoon, Kyung-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.9 no.1
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    • pp.11-18
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    • 2003
  • 본 논문에서는 회화적 렌더링에서 칼라변환을 이용한 브러쉬 스트로크의 생성에 관한 새로운 알고리즘을 제안한다. 본 논문의 브러쉬 스트로크 생성을 위한 전체적인 구성은 다음과 같다. 첫째, 두 장의 사진(한 장의 소스 이미지와 한 장의 참조 이미지)을 입력으로 하여 칼라 변환 이론을 적용하여 색상 테이블이 바뀐 새로운 이미지를 생성한다. 이 방법은 소스 이미지의 칼라 분포 형태를 창조 이미지의 칼라 분포 형태로 변환하기 위해, 선형 히스토그램 매칭이라 불리는, 간단한 통계학적 방법을 이용한다. 둘째, 가우시안 블러링과 소벨 필터를 이용하여 에지를 검출한다. 검출된 에지는 브러쉬 스트로크 렌더링 시 에지 부분에서 스트로크를 클리핑 함으로써 이미지의 윤곽선 보존을 위해 사용된다. 셋째, 브러쉬 스트로크의 방향을 결정하기 위한 방향맵을 생성한다. 방향맵은 입력 영상에 대한 영역 분할 및 병합을 토대로 만들어진다. 영역별 각 픽셀들에 대해 이미지 그래디언트에 기초한 일정한 방향을 부여함으로써 방향맵을 구성한다. 넷째, 구성된 방향맵을 참조하여 브러쉬 스트로크 생성의 기초가 되는 베지어 곡선(Bezier Curve)의 제어점(Control point)을 설정한다. 실제 회화작품에서 사용되는 브러쉬 스트로크는 일반적으로 곡선의 형태를 이루므로 곡선 표현이 가능한 베지어 곡선을 이용하여 브러쉬 스트로크를 표현하였다. 마지막으로, 생성된 브러쉬 스트로크를 에지부문에서 클리핑하고 배경색을 참조하여 블렌딩하거나 퐁 조명 모델을 이용하여 이미지에 적용하게 된다.

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Automatic Generation of Pointillist Representation-like Image from Natural Image (자연 화상에서 점묘화풍 화상으로의 자동생성)

  • Do, Hyeon-Suk;Jo, Pyeong-Dong;Choe, Yeong-Jin
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.1
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    • pp.130-136
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    • 1995
  • This paper is on the development of tools to generate pointillist representation-like images automatically by computer. Pointillist representation -like effects on the generated images are enforced by steps as follows. First, the position of brush stroke is determined from the gradient vector so that the brush touches look more natural. Second, pointillist representation-like coloring is endorsed by changing saturation and value using the RGB components of image. Our approach combines image processing techniques with computer graphics techniques for more faithful pointillist representation-like images and a couple of sample images are presented to show the effectiveness.

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Animation Generation for Chinese Character Learning on Mobile Devices (모바일 한자 학습 애니메이션 생성)

  • Koo, Sang-Ok;Jang, Hyun-Gyu;Jung, Soon-Ki
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.12
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    • pp.894-906
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    • 2006
  • There are many difficulties to develop a mobile contents due to many constraints on mobile environments. It is difficult to make a good mobile contents with only visual reduction of existing contents on wire Internet. Therefore, it is essential to devise the data representation and to develop the authoring tool to meet the needs of the mobile contents market. We suggest the compact mobile contents to learn Chinese characters and developed its authoring tool. The animation which our system produces is realistic as if someone writes letters with pen or brush. Moreover, our authoring tool makes a user generate a Chinese character animation easily and rapidly although she or he has not many knowledge in computer graphics, mobile programming or Chinese characters. The method to generate the stroke animation is following: We take basic character shape information represented with several contours from TTF(TrueType Font) and get the information for the stroke segmentation and stroke ordering from simple user input. And then, we decompose whole character shape into some strokes by using polygonal approximation technique. Next, the stroke animation for each stroke is automatically generated by the scan line algorithm ordered by the stroke direction. Finally, the ordered scan lines are compressed into some integers by reducing coordinate redundancy As a result, the stroke animation of our system is even smaller than GIF animation. Our method can be extended to rendering and animation of Hangul or general 2D shape based on vector graphics. We have the plan to find the method to automate the stroke segmentation and ordering without user input.