Previous works on image completion typically aim to produce visually plausible results rather than factually correct ones. In this paper, we propose an approach to  faithfully  complete the missing regions of an image. We assume that the input image is taken at a well-known landmark, so similar images taken at the same location can be easily found on the Internet. We first download thousands of images from the Internet using a text label provided by the user. Next, we apply two-step filtering to reduce them to a small set of candidate images for use as source images for completion. For each candidate image, a co-matching algorithm is used to find correspondences of both points and lines between the candidate image and the input image. These are used to find an optimal warp relating the two images. A completion result is obtained by blending the warped candidate image into the missing region of the input image. The completion results are ranked according to combination score, which considers both warping and blending energy, and the highest ranked ones are shown to the user. Experiments and results demonstrate that our method can faithfully complete images.
['Zhe Zhu', 'Hao-Zhi Huang', 'Zhi-Peng Tan', 'Kun Xu', 'Shi-Min Hu']
Faithful Completion of Images of Scenic Landmarks Using Internet Images