Abstract: A method for a copy-paste tampered image detection, including: extracting, using a scale-invariant feature transformation algorithm, key points of an image and features corresponding to the key points; constructing, using a gradient hash matching algorithm, a hash table based on the features, and putting the key points into rows corresponding to serial numbers of the hash table; performing a matching operation, using a k-nearest neighbor algorithm, on the key points in each row of the hash table to obtain key point pairs; and clustering and grouping, using a distance clustering filtering algorithm, the key point pairs, and retaining the key point pairs in a cluster group whose number of the key point pairs is greater than a quantity threshold; and marking circles in the image with each key point, in the key point pairs that are retained, as a center and according to a specified radius.

Abstract: The present disclosure provides a kinship verification method based on generalized multi-view graph embedding, including the following steps: extracting features for multiple views of facial images from a training set and generating sample pair; constructing an intrinsic graph and a penalty graph of each of the multiple views based on semantic information, and converting and correcting a graph embedding method; implementing generalized fusion for the multiple views, and solving generalized eigenvalue decomposition; and calculating a similarity between the facial images, and outputting a kinship discrimination result.