Leaderboard

You can either or apply 1, some or all levels of the subdivision and UV the resulting mesh, OR do the more common, and often simpler thing, which is to UV the base mesh. The SDS object has UV subdivide modes (edge / border etc) that should result in practically no distortion* if your base meshes overall shape roughly matches the SDS result. However, in cases where you are working really VERY low poly, and relying mostly on SDS to generate the primary silhouette / form of your mesh then it is sensible to apply a couple of levels of that subdivision to the mesh before you UV it to minimize the SDS distortion that would probably result otherwise. CBR * This does not apply to OpenSubDiv, which has a long-standing bug I report every year, meaning that it is simply impossible to get SDS distortion-free mapping with that mode of SDS, so make sure you stick to Catmull Clark !

ISBN: 0849390508 | 324 Pages Abstract: Rapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals of computer graphics with a practitioner-oriented review of the latest 3-D graphics display and visualization techniques. Each chapter is written by well-known experts in the field. The first section reviews how computer graphics visualization techniques have evolved to work with digital numerical analysis methods. The fundamentals of computer graphics that apply to the visualization of analysis data are also introduced. The second section presents a detailed discussion of the algorithms and techniques used to visualize behavior in 3-D, as static, interactive, or animated imagery. It discusses the mathematics of engineering data for visualization, as well as providing the current methods used for the display of scalar, vector, and tensor fields. It also examines the more general issues of visualizing a continuum volume field and animating the dimensions of time and motion in a state of behavior. The final section focuses on production visualization capabilities, including the practical computational aspects of visualization such as user interfaces, database architecture, and interaction with a model. The book concludes with an outline of successful practical applications of visualization, and future trends in scientific visualization. The fact that this book showcases things we only got after 2015 (tracer) (voxels ?) or still to see (ok, this exists but in CV tools) I've no idea how this works and I'm too afraid to know

I've only found this but he does it in post. Maybe it's just an inverse Fresnel.