Rui Bastos

MMR: an interactive massive model rendering system using geometric and image-based acceleration

We present a system for rendering very complex 3D models at interactive rates. We select a subset of the model as preferred viewpoints and partition the space into virtual cells. Each cell contains near geometry, rendered using levels of detail and visibility culling, and far geometry, rendered as a textured depth mesh. Our system automatically balances the screen-space errors resulting from geometric simplification with those from textureddepth-mesh distortion. We describe our prefetching and data management schemes, both crucial for models significantly larger than available system memory. We have successfully used our system to accelerate walkthroughs of a 13 million triangle model of a large coal-fired power plant and of a 1.7 million triangle architectural model. We demonstrate the walkthrough of a 1.3 GB power plant model with a 140 MB cache footprint.

Interactive Rendering of Globally Illuminated Glossy Scenes

Global illumination simulates all transfers of light in a scene. The results of the simulation are then used to generate photo-realistic images. Scenes with diffuse surfaces only can be displayed in real-time using the results of radiosity methods. Images of scenes with more general surfaces are created with methods based on ray tracing but do not achieve interactive frame rates.

Increased photorealism for interactive architectural walkthroughs

This paper presents a new method for interactive rendering of globally illuminated static scenes. Global illumination is decomposed into view-independent (diffuse) and view-dependent (non-diffuse) components. The two are recombined during rendering using a hybrid geometryand image-based approach along with multi-pass blending techniques. This approach allows the preprocessing of both components and the fast rendering of globally illuminated scenes. The view-independent component uses a traditional precomputed geometry-based radiosity solution that is rendered using standard graphics hardware. The view-dependent component is decomposed into “what is reflected” (radiance with depth) and “how it is reflected” (BRDF), and precomputed and rendered using image-based approaches. Radiance is stored as images with depth, and rendered using perspective reprojection; the BRDF is decomposed into an integration of incoming radiance and a directional modulation. The radiance integration term is approximated by convolving the reflected image with precomputed kernel textures based on material properties. The directional modulation is stored as a reflectance modulation texture based on material properties and is rendered using spheremapping during a blending pass.

Efficient radiosity rendering using textures and bicubic reconstruction

Wepresenta method to speed up walkthmttghs of static scenes. It involves the cmatiort of acmttimsous C1 radiosity reconstruction for adaptively sampled tegiotts. This mpmaentation is a unitied solution to handle usuestricted quadtrees and T-vertices, and allows for the generation of multiple different levels-of-detail of the radiosity function, which are represented as texture maps. The method also involves the use of hardwase bicublc filtering for the mdiosity shading. Both techniques allow improvenmts in performance and memory usage while preserving visual appearance. CR CMegories and Subject Deaeriptom: L3.3 [Computer Graphics]: Pictusdmage Generation Viewing Algorithm, 1.3.6 [Computer Graphics]: Methodology and Techniques Integration Techniques. Additioatsl