User guided generation of corroded objects

N. Jain, P. Kalra, R. Ranjan, Subodh Kumar
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引用次数: 1

Abstract

Rendering of corrosion often requires pain-staking modeling and texturing. On the other hand, there exist techniques for stochastic modeling of corrosion, which can automatically perform simulation and rendering under control of some user-specified parameters. Unfortunately, these parameters are non-intuitive and have a global impact. It is hard to determine the values of these parameters to obtain a desired look. For example, in real life corrosion gets influenced by both internal object-specific geometric factors, like sharp corners and curvatures, and external interventions like scratches, blemishes etc. Further, a graphics designer may want to selectively corrode areas to obtain a particular scene. We present a technique for user guided spread of corrosion. Our framework encapsulates both structural and aesthetic factors. Given the material properties and the surrounding environmental conditions of an object, we employ a physio-chemically based stochastic model to deduce the decay of different points on that object. Our system equips the user with a platform where the imperfections can be provided by either manual or systematic interference on a rendering of the three dimensional object. We demonstrate several user guided characteristic simulations encompassing varied influences including material, object characteristics and environment conditions. Our results are visually validated to understand the impact of imperfections with elapsed time.
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用户引导生成腐蚀对象
腐蚀的渲染通常需要艰苦的建模和纹理。另一方面,已有的腐蚀随机建模技术可以在用户指定的参数控制下自动进行模拟和绘制。不幸的是,这些参数不是直观的,并且具有全局影响。很难确定这些参数的值以获得所需的外观。例如,在现实生活中,腐蚀受到物体内部特定几何因素(如尖角和曲率)和外部干预(如划痕、瑕疵等)的影响。此外,图形设计师可能希望有选择地腐蚀区域以获得特定的场景。我们提出了一种用户引导的腐蚀扩散技术。我们的框架包含了结构和美学因素。给定物体的材料特性和周围环境条件,我们采用基于物理化学的随机模型来推断该物体上不同点的衰变。我们的系统为用户提供了一个平台,在这个平台上,可以通过手动或系统干扰来提供三维物体的渲染。我们演示了几个用户引导的特性模拟,包括各种影响,包括材料,对象特性和环境条件。我们的结果经过视觉验证,以了解不完美对运行时间的影响。
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