Hardware Subdivision and Tessellation of Catmull-Clark Surfaces

Inscribed Approximation based Adaptive Tessellation of Catmull-Clark Subdivision Surfaces

Catmull-Clark subdivision scheme provides a powerful method for building smooth and complex surfaces. But the number of faces in the uniformly refined meshes increases exponentially with respect to subdivision depth. Adaptive tessellation reduces the number of faces needed to yield a smooth approximation to the limit surface and, consequently, makes the rendering process more efficient. In this...

Packet-based Ray Tracing of Catmull-Clark Subdivision Surfaces

Efficient ray tracing of subdivision surfaces is an important problem in production rendering, and for interactive applications in the near future. The current hardware trends for both CPUs and GPUs suggest that compute power is outpacing bandwidth. Despite this, current approaches for ray tracing subdivision surfaces favor geometry caches or full pre-tessellation. We demonstrate that directly ...

Efficient Evaluation of Semi-Smooth Creases in Catmull-Clark Subdivision Surfaces

We present a novel method to evaluate semi-smooth creases in Catmull-Clark subdivision surfaces. Our algorithm supports both integer and fractional crease tags corresponding to the RenderMan (Pixar) specification. In order to perform fast and efficient surface evaluations, we obtain a polynomial surface representation given by the semismooth subdivision rules. While direct surface evaluation is...

Near-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfa es

Near-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfaces

A new adaptive tessellation method for general CatmullClark subdivision surfaces is presented. Development of the new method is based on the observation that optimum adaptive tessellation for rendering purpose is a recursive error evaluation and globalization process. The adaptive tessellation process is done by generating an inscribing polyhedron to approximate the limit surface for each indiv...