Figure 1: Two fluids flooding a valley with a salt diffusion (from white to blue) in our interactive and fully GPU-based PCISPH, shown for two different time-steps. The particle resolution is smoothly doubled around the village by using blend-sets (orange). Abstract In this paper we introduce a fast and consistent Smoothed Particle Hydrodynamics (SPH) technique which is suitable for convection-diffusion simulations of incompressible fluids. We apply our temporal blending technique to reduce the number of particles in the simulation while smoothly changing quantity fields. Our approach greatly reduces the error introduced in the pressure term when changing particle configurations. Compared to other methods, this enables larger integration time-steps in the transition phase. Our implementation is fully GPU-basedin order to take advantage of the parallel nature of particle simulations.

Modern Time-Of-Flight (TOF) cameras enable the in the fields of object recognition and image analysis, can be measurement of full-range distance information in real time-significantly enhanced. The distance information can be calculated by estimating the In this paper we present a framework for the simulation elapsed time between the emission and the receiving of active light. The simulation of sensors is an essential building block for of camera-like TOF distance sensors. The TOF-simulator hardware design and application development. Thus, expensive framework provides manipulation techniques for objects and prototypes can be omitted and down-stream algorithms, e.g. for cameras. Using standard graphics rasterization techniques and sensor calibration and sensor data processing, can be tested.programmable graphics hardware, all relevant global param-This paper deals with the simulation of camera-like time-ofeters, e.g. intrinsic camera parameters as well as per-pixel flight sensors and focuses particularly on the manipulation of . ' camera parameters and the generation of synthetic sensor data Tinformtio areaibe t imulation

a) tsim = 3 s (b) tsim = 16 s (c) tsim = 16 s (detergent in blue) Figure 1: The pan's surface is cleansed from grease (orange) due to detergent concentration (blue in 1(c)) on the fluid's surface. AbstractSurface effects play an essential role in fluid simulations. A vast number of dynamics including wetting of surfaces, cleansing, and foam dynamics are based on surface-surface and surface-bulk interactions, which in turn rely on a robust surface computation. In this paper we introduce a conservative Lagrangian formulation of surface effects based upon incompressible smoothed particle hydrodynamics (SPH). The key concept of our approach is to realize an implicit definition of the fluid's (free) surface by assigning each particle a value estimating its surface area. Based on this consistent surface representation, a conservative coupling of bulk and surface is achieved. We demonstrate the applicability and robustness of our approach for several types of surface-relevant effects including adsorption, diffusion and reaction kinetics.

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