In this work, we provide an initial-connectivity-based sufficient condition for consensus of multi-dimensional Krause-Hegselmann model with uniform bounded confidence. The criterion is obtained by exploiting a Lyapunov-like function that is the largest edge length in the dynamical network. An illustrative example is carried out to show the effectiveness of the approach.