Method for the 3D digitization of an object, wherein a) a light pattern is projected onto the object, b) a plurality of camera images of the object, which partly overlap, are recorded from different perspectives and composed for the purposes of establishing the 3D coordinates of the object, c) recordings (5, 6) are made of the object, 2D feature points (11, 12, 13; 21, 22, 23; 14, 15, 16, 17, 18; 24, 25, 26, 27, 28) of the object being determined from said recordings, d) wherein corners of the object, prominent points of the object and/or points in the recording, which have characteristic surroundings, are used as 2D feature points, e) the 3D coordinates of the 2D feature points are determined from camera images of the object which serve to establish the 3D coordinates of the object, f) the 2D point correspondences (31, 32, 33; 34, 35, 36, 37, 38) between the 2D feature points of one recording and the 2D feature points of another recording are determined, g) a plurality of these 2D point correspondences are selected and an associated 3D transformation is determined from the 3D coordinates of the 2D feature points of the selected 2D point correspondences, h) the transformed 3D coordinates of the 2D feature points are determined from this 3D transformation, i) the quality of this 3D transformation is determined on the basis of the 3D coordinates of the 2D feature points and the transformed 3D coordinates of the 2D feature points, and valid 3D feature points are established therefrom, j) and the 3D coordinates of the valid 3D feature points are used for composing the camera images of the object, wherein camera images with a light pattern are recorded for establishing the 3D coordinates of the object and wherein recordings without light patterns are made for determining the 2D feature points of the object. a) a light pattern is projected onto the object, b) a plurality of camera images of the object, which partly overlap, are recorded from different perspectives and composed for the purposes of establishing the 3D coordinates of the object, c) recordings (5, 6) are made of the object, 2D feature points (11, 12, 13; 21, 22, 23; 14, 15, 16, 17, 18; 24, 25, 26, 27, 28) of the object being determined from said recordings, d) wherein corners of the object, prominent points of the object and/or points in the recording, which have characteristic surroundings, are used as 2D feature points, e) the 3D coordinates of the 2D feature points are determined from camera images of the object which serve to establish the 3D coordinates of the object, f) the 2D point correspondences (31, 32, 33; 34, 35, 36, 37, 38) between the 2D feature points of one recording and the 2D feature points of another recording are determined, g) a plurality of these 2D point correspondences are selected and an associated 3D transformation is determined from the 3D coordinates of the 2D feature points of the selected 2D point correspondences, h) the transformed 3D coordinates of the 2D feature points are determined from this 3D transformation, i) the quality of this 3D transformation is determined on the basis of the 3D coordinates of the 2D feature points and the transformed 3D coordinates of the 2D feature points, and valid 3D feature points are established therefrom, j) and the 3D coordinates of the valid 3D feature points are used for composing the camera images of the object, wherein camera images with a light pattern are recorded for establishing the 3D coordinates of the object and wherein recordings without light patterns are made for determining the 2D feature points of the object.