LIU Jing; HE Wen-juan; WANG Bing-bo
Aiming at the inefficient watermark detection due to the variant feature points, a novel robust image watermark method is proposed based on dividing watermark insertion and the feature points. The Harris detector is utilized to extract feature points. According to the feature points, a convex polygon is adaptively constructed which is then optimally triangulated by dynamic programming. The watermark is embedded into the circles centering around the centeroid of each triangle. With the invariant feature points, the original image and the distorted images are matched so that the geometric manipulation can be computed. Experimental results show that the proposed method is considerably robust against Rotation, Scale, and Translation(RST) attacks.