Abstract
This chapter discusses the methods for rendering shapes represented as generative models. Shapes of high-input dimension include curves, surfaces, and solids that change as a function of time or as a function of many parameters and must be projected, animated, or otherwise transformed into low-dimensional shapes before rendering. Superimposition renders the shape by rendering the entire collection of instances in a single image, whereas animation renders a sequence of instances, one at a time. The method of visualization appropriate for a shape depends on the interpretation of the shape. An algorithm for adaptive sampling of parametric shapes requires the evaluation of the shape at unstructured collection of points, and it is done by calling the shape's point evaluation method. GENMOD concentrates on interactive, z-buffer rendering and flexibly combines a small set of primitive visualization methods. It also provides visualization methods that use adaptive sampling with criteria selected by the user and expressed using the symbolic operators.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Generative Modeling for Computer Graphics and CAD: Symbolic Shape Design Using Interval Analysis
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
