公开(公告)号：US20190228564A1

公开(公告)日：2019-07-25

申请号：US16336918

申请日：2017-03-09

Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Tieniu TAN ,  Jing DONG ,  Wei WANG ,  Bo PENG

IPC: G06T15/20 ,  G06K9/00

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.

公开(公告)号：US20200026941A1

公开(公告)日：2020-01-23

申请号：US16488600

申请日：2017-06-23

Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Tieniu TAN ,  Jing DONG ,  Wei WANG ,  Bo PENG

IPC: G06K9/00 ,  G06K9/48 ,  G06T7/80

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.