We focus on developing a simple and efficient unified level-of-detail structure for networked urban model viewers. At the core of our approach is a revisitation of the BlockMap [CDG*07] data structure, originally introduced ...

We present a client-server framework for network distribution and real-time point-based rendering of large 3D models on commodity graphics platforms. Model inspection, based on a one-touch interface, is enriched by a ...

We propose to exploit the color capabilities of recent rapid prototyping hardware devices to enhance the visual appearance of reproduced objects. In particular, by carefully pre-computing surface shading, we are able to ...

New embedded CPUs that sport powerful graphics chipsets have the potential to make complex 3D applications feasible on mobile devices. In this paper, we present a scalable architecture and its implementation for mobile ...

We present a state-of-the-art system for obtaining and exploring large scale three-dimensional models of urban landscapes. A multimodal approach to reconstruction fuses cadastral information, laser range data, and oblique ...

We present a simple, fast and robust technique for semi-automatic 2D-3D registration capable to align a large set of unordered images to a massive point cloud with minimal human effort. Our method converts the hard to solve ...

Nowadays, 3D acquisition devices allow us to capture the geometry of huge Cultural Heritage (CH) sites, historical buildings and urban environments. We present a scalable real-time method to render this kind of models ...

We propose an approach for improving the digitization of shape and color of 3D artworks in a cluttered environment using 3D laser scanning and flash photography. In order to separate clutter from acquired material, ...

We propose a novel multi-spectral reflectance transformation imaging (MS-RTI) framework for the acquisition and direct analysis of the reflectance behavior of heterogeneous artworks. Starting from free-form acquisitions, ...

We present a completely automatic and scalable framework to perform query-by-example word-spotting on medieval manuscripts. Our system does not require any human intervention to produce a large amount of annotated training ...