Peter Kristof

Learn More
This paper presents a new technique for modification of 3D terrains by hydraulic erosion. It efficiently couples fluid simulation using a Lagrangian approach, namely the Smoothed Particle Hydrodynamics (SPH) method, and a physically-based erosion model adopted from an Eulerian approach. The eroded sediment is associated with the SPH particles and is(More)
We present an important step towards the solution of the problem of inverse procedural modeling by generating parametric context-free L-systems that represent an input 2D model. The L-system rules efficiently code the regular structures and the parameters represent the properties of the structure transformations. The algorithm takes as input a 2D vector(More)
Modern multicore hardware employs a variety of parallel execution units, including multiple CPU cores for executing multiple threads simultaneously, vector units such as the Intel SIMD on the CPU cores, as well as GPU-like processing arrays. Availability of such unprecedented level of parallelism on main-stream computers offers an enormous potential to(More)
We present a new stereoscopic compositing technique that combines volumetric output from several stereo camera rigs. Unlike previous multi-rigging techniques, our approach does not require objects rendered with different stereo parameters to be clearly separable to prevent visual discontinuities. We accomplished that by casting not straight rays (aligned(More)
The high resolution NEXRAD level II data provides critical information for researchers and the broader community to understand, monitor, and predict weather in a timely manner. There are several limitations in existing systems for providing easy-to-access 3D visualization of the radar data to the user community. In this paper, we present a scalable and user(More)
The NEXRAD Level II super resolution Doppler radars continuously scan the atmosphere above the continental USA, providing a stream of temporally and spatially misaligned large volumetric data about cloud reflectivity, wind velocity, and spectrum width. This data is used for immediate and long term weather predictions. However, because this large amount of(More)
  • 1