GoLD

Abstract

Christian Lahanier † C2RMFFigure 1: GoLD can display both highly tesselated models and highly textured models at low or high resolution. These example models are rendered at interactive rates. From left to right: a Byzantine crypt, a painting by Renoir (250M triangles, one day of scanning); Stanford's model of Michelangelo's St. Matthew (372 M triangles), and a terrain from aerial surveying built from over 100 million data points and 6800 4M-pixel digital photographs. AbstractThis paper presents a new technique for fast, view-dependent, realtime visualization of large multiresolution geometric models with color or texture information. This method uses geomorphing to smoothly interpolate between geometric patches composing a hierarchical level-of-detail structure, and to maintain seamless continuity between neighboring patches of the model. It combines the advantages of view-dependent rendering with numerous additional features: the high performance rendering associated with static preoptimized geometry, the capability to display at both low and high resolution with minimal artefacts, and a low CPU usage since all the geomorphing is done on the GPU. Furthermore, the hierarchical subdivision of the model into a tree structure can be accomplished according to any spatial or topological criteria. This property is particularly useful in dealing with models with high resolution textures derived from digital photographs. Results are presented for both highly tesselated models (372 million triangles), and for models which also contain large quantities of texture (200 million triangles + 20 GB of compressed texture). The method also incorporates asynchronous out-of-core model management. Performances obtained on commodity hardware are in the range of 50 million geomorphed triangles/second for a benchmark model such as Stanford's St. Matthew dataset.

Hardware-Based Adaptive Terrain Mesh Using Temporal Coherence for Real-Time Landscape Visualization

“…Generally, a DEM dataset has tera-bytes of data size. Since the DEM data is larger than GPU memory, some of these data are stored in a file on the server or hard disk, and only necessary parts are selected and uploaded to the GPU in real time for rendering [49]. In this case, the DEM data to be rendered is a two-dimensional height-field.…”

Delivering and using 3D models on the web: are we ready?

“…Many years of research in computer graphics have been instrumental in building an arsenal of technologies for controlled surface simplification and for the construction of multiresolution encoding schemes and viewdependent rendering modalities (Cignoni et al, 2004;Cignoni et al, 2005;Borgeat, Godin, Blais, Massicotte, & Lahanier, 2005;Wimmer & Scheiblauer, 2006). Providing an interactive and fluid visualization of complex models is a critical task for applications running either on the web or on mobile platforms.…”

3DHOP: 3D Heritage Online Presenter

“…Following this work, a number of so-called multi-resolution and multitriangulation solutions have been proposed. They mainly differ on the multiresolution representation [33,34], on the support of color encoding [35], or on other aspects (a survey on these method was provided by Zhang et al [36]). Alternative research tracks are devoted to other types of data, like point clouds [37].…”