The ideas presented in this paper, particularly the GPU-friendly stroke expansion algorithm using Euler spirals, can be applied to various areas of computer graphics and visualization that require efficient parallel processing of geometric data.
One application could be in real-time rendering engines for interactive graphics applications, where the stroke expansion algorithm can be used to efficiently render complex vector graphics with high performance. This can be beneficial for applications such as digital art tools, interactive maps, or data visualization platforms.
Furthermore, the parallel processing techniques employed in the algorithm can be adapted for tasks like image processing, ray tracing, or simulation of physical phenomena. By leveraging the parallel computing capabilities of GPUs, these techniques can significantly accelerate the processing of large datasets and complex geometric operations in various computational graphics applications.