Neat visualization, but I wouldn't say this is the kernel trick. The kernel trick is a trick because it maps the higher dimension dot products into a kernel function in the lower dimension. The neat thing is specifically that a kernel function on low dimension points can actually correspond to a dot product in an infinite-dimension space. In fact this is the case for RBF kernels like Gaussian, which is probably the most popular SVM kernel choice.