Efficient Spherical Harmonics Lighting with the Preetham Skylight Model

By substituting the parameters from Table 4 into the kinematic model and dynamic model, we obtained the inverse solutions of the position, velocity, the acceleration,

The proposed model yields the degree of linear polarisation D (equation 9) – which cor- responds to the second Stokes parameter in our reference system – for a given viewing

Our main contribution is the integration of lighting inten- tion with evolution over time into an inverse natural lighting model which takes into account lighting with sun/sky

The dynamic model used in the presented simulator consists of three main components: the mechanical model of the vehicle, the power subsystem and the tyres, which provide the model

While the incorporation of a realistic detector model significantly improves the quality of reconstructions, its computation time is negligible due to the efficient Monte

Figure 3: Per row: Input image, classified material, estimated illumination (in spherical harmonics basis), ground truth il- lumination (in spherical harmonics basis) and rendering

This technique is based on two main components: an efficient GPU-based algorithm for the computation in real time of the physical quantities involved in the object motion (e.g.

They are mainly concerned with rendering and an- imation of grass and trees, though a more general improvement for skylight lighting for spherical harmonics precomputed