3D screen-space widgets for non-linear projection

Patrick Coleman, Karan Singh, Leon Barrett, Nisha Sudarsanam, C. Grimm
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引用次数: 19

Abstract

Linear perspective is a good approximation to the format in which the human visual system conveys 3D scene information to the brain. Artists expressing 3D scenes, however, create nonlinear projections that balance their linear perspective view of a scene with elements of aesthetic style, layout and relative importance of scene objects. Manipulating the many parameters of a linear perspective camera to achieve a desired view is not easy. Controlling and combining multiple such cameras to specify a nonlinear projection is an even more cumbersome task. This paper presents a direct interface, where an artist manipulates in 2D the desired projection of a few features of the 3D scene. The features represent a rich set of constraints which define the overall projection of the 3D scene. Desirable properties of local linear perspective and global scene coherence drive a heuristic algorithm that attempts to interactively satisfy the given constraints as a weight-averaged projection of a minimal set of linear perspective cameras. This paper shows that 2D feature constraints are a direct and effective approach to control both the 2D layout of scene objects and the conceptually complex, high dimensional parameter space of nonlinear scene projection.
用于非线性投影的3D屏幕空间小部件
线性透视是一种很好的近似于人类视觉系统向大脑传递3D场景信息的格式。然而,表达3D场景的艺术家创造了非线性投影,以平衡他们对场景的线性视角与美学风格、布局和场景对象的相对重要性。操纵线性透视相机的许多参数来获得理想的视图并不容易。控制和组合多个这样的相机来指定一个非线性投影是一个更麻烦的任务。本文提出了一个直接的界面,其中艺术家在2D中操纵所需的3D场景的几个特征的投影。这些特征代表了一组丰富的约束,这些约束定义了3D场景的整体投影。局部线性视角和全局场景一致性的理想特性驱动了一种启发式算法,该算法试图交互地满足给定的约束,作为最小线性视角相机集的加权平均投影。本文表明,二维特征约束是一种直接有效的方法,既可以控制场景对象的二维布局,也可以控制概念复杂、高维的非线性场景投影参数空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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