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By Sherif Ghali, A. James Stewart (auth.), Dr. Ronan Boulic, Dr. Gerard Hégron (eds.)

The 14 papers during this quantity vividly show the present country of analysis in real-time animation. 1/2 the papers are devoted to set of rules permitting the real-time animation of advanced articulated constitution particularly (humans, legged robots, vegetation) and of dynamic scenes commonly. The proposed methods hide from movement trap to movement reusability that are crucial concerns for high-end purposes as 3D video games, digital truth, and so on. different issues handled are movement administration for speedy layout of life like routine, 2nd and 3D deformations, and numerous optimization concepts for simulation (adaptive mass-spring refinement, large particule systems).

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Extra resources for Computer Animation and Simulation ’96: Proceedings of the Eurographics Workshop in Poitiers, France, August 31–September 1, 1996

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Obtaining an animation with a sufficient frame rate with such a great amount of information is still a challenge in computer graphics, even when using level of details. This can be achieved by animating a discrete representation of the system. Zooming into the system will reduce the size of the visible scene. So discretization can be targeted on the observed sub-system, improving resolution of the discrete scene. One can obviously represent the real system when the scene complexity is sufficiently low, depending on the hardware used.

I • • • ' •• Fig. 9. Hiding of neurons using property mapping As shown in Figure 9, The "lost" neurons are successfully hidden and the visualization of the discrete system has been enhanced. A color version of Figure 9 can be found in the appendix. 3 Adding an incremental mechanism We call an incremental algorithm a method which allows, from an initial network configuration (defined by a set of neuron weights), to find the resulting network configuration after having modified the input space used for the previous network convergence.

5 Future Works There are many directions for future improvement, including: Multi resolution mechanism. To allow switching dynamically from a level of discretization (for example, using a (x d' Yd' zd) network topology) to another (coarser, like (xd12, Y/2, z/2) , or finer like (xd x 2, Yd X 2, zd x 2», a hierarchical data structure (like a tree structure) should be maintained for the network, where each level of the tree represents a level of discretization. At the present state of the method presented in this paper, if changing the level of discretization is needed, it has to be done "from scratch" meaning that the non-incremental algorithm has to be used to obtain a new initial state for the incremental algorithm.

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