Although metric reconstruction is impossible from uncalibrated images, projective reconstruction from point correspondences of multiple uncalibrated images can be achieved through reference points. This paper describes an algebraic method of projective reconstruction from minimal data, 6 points and 3 images, and a numerical method from heavily redundant data, n ≫ 6 points and m ≫ 3 images. Experimental results for both simulated and real image sequences are presented, and robustness of the method and reconstruction precision of the results are discussed.