Spectral compression of mesh geometry
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Rapid Object Indexing and Recognition Using Enhanced Geometric Hashing
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Public Authentication of 3D Mesh Models
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Robust and secure image hashing
IEEE Transactions on Information Forensics and Security
Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs
IEEE Transactions on Image Processing
Autonomous Shape Control of a Deformable Object by Multiple Manipulators
Journal of Intelligent and Robotic Systems
Robust 3D mesh model hashing based on feature object
Digital Signal Processing
Key-dependent 3D model hashing for authentication using heat kernel signature
Digital Signal Processing
Hi-index | 12.05 |
Identification and authentication of multimedia content has become one of the most important aspects of multimedia security. In this paper, we present a hashing technique for 3D models using spectral graph theory and entropic spanning trees. The main idea is to partition a 3D triangle mesh into an ensemble of sub-meshes, then apply eigen-decomposition to the Laplace-Beltrami matrix of each sub-mesh, followed by computing the hash value of each sub-mesh. This hash value is defined in terms of spectral coefficients and Tsallis entropy estimate. The experimental results on a variety of 3D models demonstrate the effectiveness of the proposed technique in terms of robustness against the most common attacks including Gaussian noise, mesh smoothing, mesh compression, scaling, rotation as well as combinations of these attacks.