Guest
Part 2 of the video-blog focuses on the selective multi-LOD error-driven processing of the massive voxel-based content. Atomontage Engine processes the voxels in chunks. The whole content is segmented on all LODs. The segmentation performed by the renderer results in the processing of small segments called render-atoms. Each render-atom is processed by a CPU-based „volumetric shader“ which applies only the relevant effects to it; other effects are application of the effects is error-driven so that no resources are wasted on unnecessary calculations. Then the processed data is sent to the GPU by the hardware accelerated part of the renderer (that's similar with other accelerated solutions). So, many features in Atomontage Engine are intelligent rather than brute-force solutions. The engine doesn't waste resources on unnecessary detail or quality of the features. The selective multi-LOD error-driven processing is necessary to make an atom-based technology work
