A Perceptual Structural Degradation Metric for 3D Mesh Processing

3D mesh simplification and other processing usually introduce some visual perceptual degradations and distortions. Evaluating them is a critical issue. Some geometric metrics without the consideration of human visual perception and perceptual metrics based on subjective test have been proposed. It is urgent to develop an objective evaluation metric with the consideration of human visual perception. We use the mean perceptual structural degradation (MPSD) metric based on mesh saliency and information theory to evaluate the visual degradation. Experimental results show that the MPSD can evaluate the visual perceptual structural degradation effectively and provide the functionality of multi-scale evaluation for visual perceptual degradation.

[1]  Yong Huang,et al.  Texture decomposition by harmonics extraction from higher order statistics , 2004, IEEE Trans. Image Process..

[2]  Xing-Dong Yang,et al.  Perceptual Analysis of Level-of-Detail: The JND Approach , 2006, Eighth IEEE International Symposium on Multimedia (ISM'06).

[3]  Irene Cheng,et al.  Quality metric for approximating subjective evaluation of 3-D objects , 2005, IEEE Transactions on Multimedia.

[4]  David W. Jacobs,et al.  Mesh saliency , 2005, SIGGRAPH 2005.

[5]  Guillaume Lavoué,et al.  A local roughness measure for 3D meshes and its application to visual masking , 2009, TAP.

[6]  Carol O'Sullivan,et al.  Predicting and Evaluating Saliency for Simplified Polygonal Models , 2005, TAP.

[7]  Qiong Li,et al.  A Perceptual Metric Based on Salient Information Entropy for 3D Mesh Distortion , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[8]  Craig Gotsman,et al.  Spectral compression of mesh geometry , 2000, EuroCG.

[9]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[10]  Gabriel Taubin,et al.  A signal processing approach to fair surface design , 1995, SIGGRAPH.

[11]  Donald P. Greenberg,et al.  Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments , 2001, TOGS.

[12]  Jonathan D. Cohen,et al.  Terrain Level of Detail , 2003 .

[13]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[14]  Touradj Ebrahimi,et al.  Perceptually driven 3D distance metrics with application to watermarking , 2006, SPIE Optics + Photonics.

[15]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .