An image processing method for generating images of a part of a three-dimensional space by means of a camera cluster comprising at least two camera devices (1, 2, 3, 4, 5) with a camera image space belonging to the camera device and/or by means of a camera cluster comprising at least one camera device (1, 2, 3, 4, 5) with a camera image space belonging to the camera device, which is moved along a spatially known path with a known amount of movement, wherein a) the camera cluster is positioned in the three-dimensional space, and b) a calibration of the parameters that describe the recording characteristics of the camera device (1, 2, 3, 4, 5) is effected by recording calibration marks arranged in the three-dimensional space and an allocation of the calibration marks in the three-dimensional space to an at least one calibration image generated by the camera cluster, wherein the positions of the calibration marks in a coordinate system relative to each other are known, and c) subsequently, by means of the at least one calibration image generated by the camera cluster, values for an image distortion correction, a brightness correction and/or a color correction are calculated for at least one focus area as a virtual area in the three-dimensional space, each with at least one predetermined spatial distance to the camera cluster, d) by associating with each pixel in the images of the camera cluster a point in the three-dimensional space at a predetermined distance to the camera cluster on the at least one focus area, wherein e) the at least one three-dimensional focus area is a sphere with a radius around the camera cluster or an arbitrarily shaped focus area with at least one predetermined spatial distance to the camera cluster, which surrounds the camera cluster, in particular a hemispherical area, or the at least one focus area is located inside the camera cluster with at least a predetermined spatial distance to the camera cluster, when the camera devices (1, 2) are directed to the inside, and f) the parameters are the input data for a second calibration step in which the entire camera cluster is calibrated to the at least one spatial distance or the spatial distances of the camera cluster to the at least one focus area, wherein image distortion corrections are generated by using grids for each of the camera devices (1, 2, 3, 4, 5), wherein the grids are part of an image processing means (206, 207) and contain mappings between points of the respective camera image space and those of the at least one focus area, such as in particular a mapping according to feature d). a) the camera cluster is positioned in the three-dimensional space, and b) a calibration of the parameters that describe the recording characteristics of the camera device (1, 2, 3, 4, 5) is effected by recording calibration marks arranged in the three-dimensional space and an allocation of the calibration marks in the three-dimensional space to an at least one calibration image generated by the camera cluster, wherein the positions of the calibration marks in a coordinate system relative to each other are known, and c) subsequently, by means of the at least one calibration image generated by the camera cluster, values for an image distortion correction, a brightness correction and/or a color correction are calculated for at least one focus area as a virtual area in the three-dimensional space, each with at least one predetermined spatial distance to the camera cluster, d) by associating with each pixel in the images of the camera cluster a point in the three-dimensional space at a predetermined distance to the camera cluster on the at least one focus area, wherein e) the at least one three-dimensional focus area is a sphere with a radius around the camera cluster or an arbitrarily shaped focus area with at least one predetermined spatial distance to the camera cluster, which surrounds the camera cluster, in particular a hemispherical area, or the at least one focus area is located inside the camera cluster with at least a predetermined spatial distance to the camera cluster, when the camera devices (1, 2) are directed to the inside, and f) the parameters are the input data for a second calibration step in which the entire camera cluster is calibrated to the at least one spatial distance or the spatial distances of the camera cluster to the at least one focus area, wherein image distortion corrections are generated by using grids for each of the camera devices (1, 2, 3, 4, 5), wherein the grids are part of an image processing means (206, 207) and contain mappings between points of the respective camera image space and those of the at least one focus area, such as in particular a mapping according to feature d).