Title :
Watermarking mesh-based representations of 3-D objects using local moments
Author_Institution :
Dept. of Comput. Sci., Univ. of York, UK
fDate :
3/1/2006 12:00:00 AM
Abstract :
A new methodology for fingerprinting and watermarking three-dimensional (3-D) graphical objects is proposed in this paper. The 3-D graphical objects are described by means of polygonal meshes. The information to be embedded is provided as a binary code. A watermarking methodology has two stages: embedding and detecting the information that has been embedded in the given media. The information is embedded by means of local geometrical perturbations while maintaining the local connectivity. A neighborhood localized measure is used for selecting appropriate vertices for watermarking. A study is undertaken in order to verify the suitability of this measure for selecting vertices from regions where geometrical perturbations are less perceptible. Two different watermarking algorithms, that do not require the original 3-D graphical object in the detection stage, are proposed. The two algorithms differ with respect to the type of constraint to be embedded in the local structure: by using parallel planes and bounding ellipsoids, respectively. The information capacity of various 3-D meshes is analyzed when using the proposed 3-D watermarking algorithms. The robustness of the 3-D watermarking algorithms is tested to noise perturbation and to object cropping.
Keywords :
binary codes; data compression; image coding; image representation; watermarking; 3D objects; binary code; fingerprinting; geometrical perturbations; graphical objects; local moments; noise perturbation; object cropping; watermarking mesh-based representations; Authentication; Binary codes; Discrete cosine transforms; Equations; Fingerprint recognition; Geometry; Object detection; Optical interferometry; Spline; Watermarking; Mesh representation; moments; three-dimensional (3-D) graphical objects; watermarking; Algorithms; Computer Graphics; Data Compression; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Patents as Topic; Pattern Recognition, Automated; Product Labeling; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.863116