Spectral compression of mesh geometry
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Restricted delaunay triangulations and normal cycle
Proceedings of the nineteenth annual symposium on Computational geometry
Anisotropic polygonal remeshing
ACM SIGGRAPH 2003 Papers
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
A Perceptual Data Repository for Polygonal Meshes
VIZ '09 Proceedings of the 2009 Second International Conference in Visualisation
Technical Section: Robust and blind mesh watermarking based on volume moments
Computers and Graphics
An Oblivious Watermarking for 3-D Polygonal Meshes Using Distribution of Vertex Norms
IEEE Transactions on Signal Processing
Watermarked 3-D Mesh Quality Assessment
IEEE Transactions on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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This paper presents a new objective metric for assessing the visual difference between a reference or 'perfect' mesh and its distorted version. The proposed metric is based on the measurement of a distance between curvature tensors of the two triangle meshes under comparison. Unlike existing methods, our algorithm uses not only eigenvalues but also eigenvectors of the curvature tensor to derive a perceptually-oriented distance. Our metric also accounts for some important properties of the human visual system. Experimental results show good coherence between the proposed objective metric and subjective assessments.