Adaptive perspective ray casting
Kevin A. Kreeger, Ingmar Bitter, Frank T. Dachille, Baoquan Chen, Arie E. Kaufman · 1998
ii'e present a method to accurately and eficientlyperform perspective volumek.cray casting of unjform regular datasets, called E~on&ntial-Begion (ER) Perspective.Unlike previous m&thodswhich undersample, oversimple, or approximate the data, our method near un#ormly samples the data throughout the viewing volume.In addition, it gajns algorithmic advantagesfiom a regular sampling pattern and cache-coherent rad access, making itan algon-thm well suited for implementation on hardware architectu~s for volume rendering.TT'equali~the algorithm by its $ltering characteristics and demonstrate its effectiveness by wntrasting its antialiasing ~~aiity and timing with other perspective ray casting methods.