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公开(公告)号：US10223780B2
公开(公告)日：2019-03-05
申请号：US15557080
申请日：2015-04-15
Inventor： Tieniu Tan , Jing Dong , Wei Wang , Yinlong Qian
Abstract: The present invention provides a method for detecting image steganography based on deep learning, which comprises: filtering images having steganographic class label or true class label in a training set with a high-pass filter to obtain a training set including steganographic class residual images and true class residual images; training a deep network model on said training set to obtain a trained deep model for steganalysis; filtering the image to be detected with said high-pass filter to obtain a residual image to be detected; detecting said residual image to be detected on said deep model so as to determine whether said residual image to be detected is a steganographic image. The method for detecting image steganography in the present invention can create an automatic blind steganalysis model through feature learning and can identify steganographic images accurately.
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公开(公告)号：US10650260B2
公开(公告)日：2020-05-12
申请号：US16488600
申请日：2017-06-23
Inventor： Tieniu Tan , Jing Dong , Wei Wang , Bo Peng
Abstract: A perspective distortion characteristic based facial image authentication method and storage and processing device thereof are proposed. The method includes: S1: recognizing key points and a contour in a 2D facial image; S2: acquiring key points in a corresponding 3D model; S3: calculating camera parameters based on a correspondence between the key points in the 2D image and the key points in the 3D model; S4: optimizing the camera parameters based on the contour in the 2D image; S5: sampling the key points in the two-dimensional facial image by multiple times to obtain a camera intrinsic parameter estimation point cloud; and S6: calculating the inconsistency between the camera intrinsic parameter estimation point cloud and the camera nominal intrinsic parameters, and determining the authenticity of the facial image. The present disclosure can effectively authenticate the 2D image and has a relatively higher accuracy.
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公开(公告)号：US10600238B2
公开(公告)日：2020-03-24
申请号：US16336918
申请日：2017-03-09
Inventor： Tieniu Tan , Jing Dong , Wei Wang , Bo Peng
Abstract: An image tampering forensics method includes labeling an observation clue of a to-be-detected image, constructing a three-dimensional morphable model of an object of a category to which the target object belongs, estimating a three-dimensional normal vector to the supporting plane according to the observation clue, estimating a three-dimensional attitude of the target object according to the observation clue and the three-dimensional morphable model to obtain a plane normal vector to a plane where a side of target object in contact with the supporting plane is located, computing a parallelism between the target object and the supporting plane, and/or among a plurality of target objects, and judging whether the to-be-detected image is a tampered image or not according to the parallelism.
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