Let (X-n1((j)), ... , X-nd((j)))(inverted perpendicular), 1 <= j <= n, n >= 1 be a triangular array of independent elliptical random vectors in R-d,d >= 2. In a recent article, we show for the case d=2 that the bivariate sample maxima of this triangular array is attracted by a max-infinitely divisible bivariate distribution function, provided that the components of the triangular array become asymptotically dependent and further the random radius associated to the elliptical random vectors has distribution function in the Weibull max-domain of attraction.