DocumentCode :
3229386
Title :
A non-blind image based watermarking for 3-D polygonal mesh using its geometrical properties
Author :
Garg, Hitendra ; Agrawal, Sanjay ; Varshneya, Gopalji
Author_Institution :
MNNIT, Allahabad, India
fYear :
2013
fDate :
8-10 Aug. 2013
Firstpage :
313
Lastpage :
318
Abstract :
It has been known that non-blind watermarking scheme have been more robust than blind ones where both original and watermark signal has been required at extraction level. Generally, there have been two parameters to improve the robustness of watermark algorithm: watermark strength and maximum covered area for watermark embedding. The main objective of proposed 3-D mesh watermarking has been to insert the watermark of good strength in the less visible area of 3-D mesh and of low strength throughout the surface to minimize the perceivable visual distortion and to maximize the robustness of the algorithm. In this paper, we propose watermarking algorithm based on geometrical properties of 3-D polygon mesh. Curvature estimation on discretely samples surface like point clouds and polygon mesh shows stability, accuracy, and consistency even for non-uniform surface. Our objective has been process the object to find the less visible area of 3-D polygon mesh, which results good quality object after watermarking. To increase the robustness of the algorithm uniform distribution of the watermark has also been done. We has also been tested the proposed work against distortion and distortion less attacks.
Keywords :
computational geometry; feature extraction; image watermarking; mesh generation; 3D mesh watermarking; 3D polygonal mesh; curvature estimation; distortion attacks; distortion less attacks; extraction level; geometrical properties; maximum covered area; nonblind image based watermarking scheme; nonuniform surface; point clouds; visual distortion minimization; watermark embedding; watermark strength; Distortion measurement; Robustness; Solid modeling; Surface treatment; Three-dimensional displays; Visualization; Watermarking; Hausdorff distance; Mean Curvature; Objective measurement; RMS distance; Subjective measurement; perceivable visual quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Contemporary Computing (IC3), 2013 Sixth International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-0190-6
Type :
conf
DOI :
10.1109/IC3.2013.6612211
Filename :
6612211
Link To Document :
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