Motion path planning algorithm for dynamic graphics in visual arts

Abstract Aiming at the problems of non-smooth motion and unnatural trajectory in motion path planning of dynamic graphics in visual arts, this paper proposes a path planning algorithm based on multi-stage optimization. Firstly, the initial motion path is fitted and smoothed by using Bezier curves to ensure that the motion trajectory of dynamic graphics has high continuity and naturalness. Next, a multi-objective optimization strategy based on a genetic algorithm is introduced to comprehensively optimize the path smoothness, motion speed change, and visual comfort through the adaptive evaluation function. Finally, a dynamic weight adjustment mechanism is adopted to adapt to the changes in the requirements of different visual scenes in real time. Specifically, the standard deviation of the curvature variation of the path generated by the multi-stage optimization-based path planning algorithm is 0.0459, which is much lower than that of the other two algorithms; the mean squared error (MSE) of the speed change rate is 0.65, which is significantly reduced compared with other methods; in the visual comfort test, the fixation point dwell time is 360 ms, which is significantly higher than other methods. The dynamic deviation is the lowest. Experimental data shows that the algorithm in this paper effectively solves the problem of unsmooth motion trajectories of dynamic graphics, significantly improves the naturalness and visual experience of the path, and proves the practicability and superiority of the algorithm in visual art creation.