Abstract
This article studies the design of computer art based on artificial intelligence in the digital media environment, and mainly discusses the re-creation of the classic animated images. By analyzing and summarizing the animated images, the components needed to form the characters that are classified. We use real-coded genetic algorithm to generate a large number of flexible components. At the same time, it improves the genetic strategy in the process of operation and designs corresponding fitness functions according to the characteristics of the animated image. According to the shape modification method of NURBS curve, we increase the diversity of generative populations to construct a rich and varied library of components. Using automatic assembly method, the selection of components, we can produce a wide range of different styles of animation image.
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Wang, F. Computer art design based on artificial intelligence. Cluster Comput 22 (Suppl 6), 13881–13887 (2019). https://doi.org/10.1007/s10586-018-2121-3
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DOI: https://doi.org/10.1007/s10586-018-2121-3