Data-driven visibility

Visibility-Driven Processing of Streaming Volume Data

In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly without additional processing. Noise removal and feature detection are common operations, but many methods are too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose a visibility-driven processing scheme for handling costly on-the-fl...

Visibility Driven Rasterization

We present a new visibility driven rasterization scheme that significantly increases the rendering performance of modern graphic subsystems. Instead of rasterizing, texturing, lighting, and depth-testing each individual pixel, we introduce a two-level visibility mask within the rasterization stage which facilitates the removal of groups of pixels and triangles from rasterization and subsequent ...

Hardware-driven visibility culling

Visibility Driven Rasterization

Cotton-picker dataset containing 10 million triangles. Occlusion culling in z-buffer systems has drawn a lot of attention over the last few years.1,3 Due to the high computational costs of occlusion queries, hardware support is required to accelerate interactive rendering. This requires mechanisms that fit nicely into an available graphics subsystem without greedily consuming chip real estate (...

Visibility Driven Out-of-core Hlod Rendering

With advances in model acquisition and procedural modeling, geometric models can have billions of polygons and gigabytes of textures. Such model complexity continues to outpace the explosive growth of CPU and GPU processing power. Brute force rendering cannot achieve interactive frame rates. Even if these massive models could fit into video memory, current GPUs can only process 10-200 million t...