Finding Collinearity Among Predictor Variables

I have been reading about how (multi)-collinearity among predictor variables can be determined by looking at the condition number, or smallest eigenvalue, of the covariance matrix. My question is, if you have the covariance matrix could you not just determine that there is collinearity by looking at the correlation coefficients between variables?