Modeling with rendering primitives: an interactive non-photorealistic canvas

Martin Schwarz, Tobias Isenberg, Katherine Mason, Sheelagh Carpendale
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引用次数: 31

Abstract

Non-photorealistic rendering has placed much emphasis on developing algorithms that determine the appearance of renditions. To successfully deploy NPR rendering systems using these algorithms, however, one has to consider how artists, illustrators, or lay people can influence the created renditions. Many systems require a cyclical process of parameter tweaking, rendering, and validation before one is satisfied with the final rendition. We present an interactive NPR canvas in which a user can construct a rendition with pre-rendered primitives and modify these primitives using tools that provide spatially explicit computational assistance. We call this approach modeling with rendering primitives. Our technique has the advantage of algorithmic support for creating NPR renditions but requires neither global parameter adjustments and re-rendering cycles nor attribute changes on individually selected primitives. We demonstrate the applicability of this interaction technique for the creation of painterly rendering, pointillism, and decorative mosaics.
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用渲染原语建模:一个交互式的非真实感画布
非真实感渲染非常强调开发确定再现外观的算法。然而,要成功地使用这些算法部署NPR渲染系统,必须考虑艺术家、插画家或外行人如何影响所创建的再现。许多系统需要经过参数调整、呈现和验证的循环过程,然后才能得到满意的最终呈现。我们提出了一个交互式NPR画布,用户可以使用预呈现的原语构建再现,并使用提供空间显式计算辅助的工具修改这些原语。我们称这种方法为渲染原语建模。我们的技术具有算法支持创建NPR场景的优势,但既不需要全局参数调整和重新呈现周期,也不需要对单个选择的原语进行属性更改。我们展示了这种交互技术在绘画渲染、点彩和装饰马赛克创作中的适用性。
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