Hardware-Accelerated Adaptive EWA Volume Splatting

We present a hardware-accelerated adaptive EWA volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image quality without aliasing artifacts or excessive blurring. We introduce a novel adaptive filtering scheme to reduce the computational cost of EWA splatting. We show how this algorithm can be efficiently implemented on modern graphics processing units (GPUs). Our implementation includes interactive classification and fast splat-based lighting. To accelerate the rendering we store splat geometry and 3D volume data locally in GPU memory for slice-by-slice splatting. We present results for several rectilinear volume data sets that demonstrate the high image quality and interactive rendering speed of our method. CR Categories: I.3.1 [Computer Graphics]: Hardware Architecture--Graphics Processor; I.3.3 [Computer Graphics]: Picture/Image Generation--Display algorithms

• Type: Conference
• Year: 2004
• Where: VIS
• Authors: Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfister
• Keywords: EWA Splatting Combines, Slice-by-slice Splatting, VIS 2004, Visualization, Volume Splatting Algorithm