Stylization and abstraction of photographs

D. DeCarlo, A. Santella
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引用次数: 577

Abstract

Good information design depends on clarifying the meaningful structure in an image. We describe a computational approach to stylizing and abstracting photographs that explicitly responds to this design goal. Our system transforms images into a line-drawing style using bold edges and large regions of constant color. To do this, it represents images as a hierarchical structure of parts and boundaries computed using state-of-the-art computer vision. Our system identifies the meaningful elements of this structure using a model of human perception and a record of a user's eye movements in looking at the photo; the system renders a new image using transformations that preserve and highlight these visual elements. Our method thus represents a new alternative for non-photorealistic rendering both in its visual style, in its approach to visual form, and in its techniques for interaction.
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照片的风格化和抽象化
好的信息设计依赖于明确图像中有意义的结构。我们描述了一种明确响应这一设计目标的计算方法来对照片进行风格化和抽象。我们的系统将图像转换为使用粗体边缘和恒定颜色的大区域的线条绘制风格。为了做到这一点,它将图像表示为使用最先进的计算机视觉计算的部件和边界的分层结构。我们的系统使用人类感知模型和用户在看照片时的眼球运动记录来识别这种结构的有意义的元素;系统使用保留并突出显示这些视觉元素的转换来呈现新图像。因此,我们的方法在视觉风格、视觉形式和交互技术方面都代表了非真实感渲染的一种新选择。
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Session details: 3D acquisition and image based rendering Session details: Geometry Session details: Soft things Session details: Lighting and appearance Session details: Images and video
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