Digital images are easy to tamper and edit due to availability of powerful image processing and editing software.
Especially, forged images by taking from a picture of scene, because of no manipulation was made after taking, usual
methods, such as digital watermarks, statistical correlation technology, can hardly detect the traces of image tampering.
According to image forgery characteristics, a method, based on 3D reconstruction technology, which detect the forgeries
by discriminating the dimensional relationship of each object appeared on image, is presented in this paper. This
detection method includes three steps. In the first step, all the parameters of images were calibrated and each crucial
object on image was chosen and matched. In the second step, the 3D coordinates of each object were calculated by
bundle adjustment. In final step, the dimensional relationship of each object was analyzed. Experiments were designed to
test this detection method; the 3D reconstruction and the forged image 3D reconstruction were computed independently.
Test results show that the fabricating character in digital forgeries can be identified intuitively by this method.