交互式群組運(yùn)動(dòng)控制
[Abstract]:With the development of computer graphics technology and the improvement of computer hardware computing ability, group animation production has been widely used in film and television, entertainment, advertising, architecture, engineering, art, education, games and other fields. Especially with the development of social economy and the improvement of people's living standard, the novel visual effect and realistic picture brought by group animation technology are more and more used in daily media. Gradually become one of the important parts of people's life. The intelligent individuals in the group have independent thinking and movement, and follow the relevant rules at the same time. Groups show overall behavioral effects through organized aggregation. Motion control is one of the most important parts in generating lifelike groups, and it is also a difficult point in existing simulation technology. The demand of real-time interactive operation and rapid rendering in large-scale scene has put forward a high demand for the existing group animation technology in industry. The purpose of this paper is to simulate the group in the process of motion, and has the ability of user flexible control. On the basis of giving individual autonomous behavior, this paper provides a simple and flexible group motion control method with real-time interactivity and computational speed. In this paper, the related aspects of group control are studied from two aspects: the first is to simulate the behavior of Flock aggregation under shape constraint in three-dimensional space, and the second is to study the global hybrid local control of pedestrian walking mode. In the second chapter, a Flock simulation method based on shape constraint is proposed. While ensuring that individuals adhere to the separation, aggregation, and arrangement of the three basic rules of behavior in Flock, the clock is constrained as a whole to reach its destination smoothly along the user-designed route in a particular shape. We introduce the Kalman filter dynamic tracking technique to control the transition of the whole Flock between a series of shapes. The system provides the function of controlling the movement of groups in dynamic or static shape, and can vividly simulate the animation effects of natural colony creatures that maintain neat shapes during the process of movement. In the third and fourth chapters, the framework of global control is used to simulate the large-scale walking in two-dimensional scenarios. We construct a velocity field that covers the entire simulated region to drive individuals in the group. In the simulation process, the user modifies the velocity field in an interactive manner and changes the walking of the group quickly. We can also give each group a separate velocity field to simulate groups of pedestrians. We propose two methods to generate velocity field: first, the velocity field is obtained by means of anisotropic radial basis function interpolation by the user spreading data points in the simulated region. This method can generate velocity field quickly. The velocity field data has the advantages of smooth everywhere, small memory and no resolution limitation. In the second method, the flow of people is compared to the flow of water, and the velocity field is obtained by solving the Navier-Stokes equation which describes the two-dimensional incompressible fluid. We can modify the velocity field by adjusting the parameters of the Navier-Stokes equation. Because this method accords with the law of water flow movement, it can better show the macroscopic effect such as the intersection of multiple streams of people and the meandering walk of people. In group rendering, we use LOD hierarchy to balance rendering time and quality. According to the need of rendering accuracy and the distance between the individual and the view point, the system automatically switches between the high-level geometric detail model and the low-level Impostor image.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2009
【分類號(hào)】:TP391.41
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