A survey of architectures for volume rendering
Arie E. Kaufman, Reuven Bakalash, Daniel C. Cohen, Roni Yagel
Abstract
Arie E. Kaufman, Reuven Bakalash, Daniel C. Cohen, Roni Yagel
Abstract
Five hardware architectures for volume rendering, which requires efficiently handling a huge amount of volumetric data, are surveyed, categorized, and compared. They are Cube, Insight, PARCUM, Voxel Processor, and 3DP. General-purpose graphics systems that exploit their surface-based geometry engine to reduce the computational burden of the rendering process are briefly reviewed.
OpenAlex reports 37 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Five hardware architectures for volume rendering, which requires efficiently handling a huge amount of volumetric data, are surveyed, categorized, and compared. They are Cube, Insight, PARCUM, Voxel Processor, and 3DP. General-purpose graphics systems that exploit their surface-based geometry engine to reduce the computational burden of the rendering process are briefly reviewed.
Key concepts: Rendering (computer graphics), Computer science, Volume rendering, Exploit, Voxel, Computer graphics (images), Graphics, 3D rendering