Real-time approximate and exact CSG of implicit surfaces on the GPU

Jag Mohan Singh
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Abstract

We present a simple and powerful scheme to allow CSG of implicit surfaces on the GPU. We decompose the boolean expression of surfaces into sum-of-products form. Our algorithm presented in this paper then renders each product term, sum of products can be automatically by enabling depth test. Our Approximate CSG uses adaptive marching points algorithm for finding ray-surface intersection. Once we find an interval where root exists after root-isolation, this is used for presence of intersection. We perform root-refinement only for the uncomplemented terms in the product. Exact CSG is done by using the discriminant of the ray-surface intersection for the presence of the root. Now we can simply evaluate the product expression by checking all uncomplemented terms should be true and all complemented terms should be false. If our condition is met, we find the maximum of all the roots among uncomplemented terms to be the solution. Our algorithm is linear in the number of terms O(n). We achieve real-time rates for 4-5 terms in the product for approximate CSG. We achieve more than real-time rates for Exact CSG. Our primitives are implicit surfaces so we can achieve fairly complex results with less terms.
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在GPU上实现隐式曲面的实时逼近和精确CSG
我们提出了一个简单而强大的方案来实现GPU上隐式曲面的CSG。我们把曲面的布尔表达式分解成乘积和的形式。本文提出的算法可以通过启用深度测试自动生成每个产品项,产品和。我们的近似CSG使用自适应行军点算法来寻找射线表面交集。一旦我们在根隔离之后找到了一个存在根的区间,这就被用来表示交集的存在。我们只对乘积中的未补项执行根细化。精确的CSG是通过对存在根的射线-表面相交的判别来完成的。现在我们可以简单地计算乘积表达式,通过检查所有未互补项是否为真,所有互补项是否为假。如果我们的条件满足,我们找到所有未互补项的根的最大值为解。我们的算法在项数O(n)上是线性的。我们在产品中实现了4-5个术语的实时率,近似CSG。我们在Exact CSG中实现的不仅仅是实时速率。我们的原语是隐式曲面,所以我们可以用更少的项获得相当复杂的结果。
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