A local roughness measure for 3D meshes and its application to visual masking
ACM Transactions on Applied Perception (TAP)
Evaluation for small visual difference between conforming meshes on strain field
Journal of Computer Science and Technology
Optimization approach for 3D model watermarking by linear binary programming
Computer Aided Geometric Design
Comparing small visual differences between conforming meshes
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
CAD drawing watermarking scheme
Digital Signal Processing
Roughness-adaptive 3-D watermarking based on masking effect of surface roughness
IEEE Transactions on Information Forensics and Security
A graph-based technique for semi-supervised segmentation of 3D surfaces
Pattern Recognition Letters
A curvature tensor distance for mesh visual quality assessment
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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This paper addresses the problem of assessing distortions produced by watermarking 3D meshes. In particular, a new methodology for subjective evaluation of the quality of 3D objects is proposed and implemented. Two objective metrics derived from measures of surface roughness are then proposed and their efficiency to predict the perceptual impact of 3D watermarking is assessed and compared with the state of the art. Results obtained show good correlations between the proposed objective metrics and subjective assessments by human observers