A comparison of perceptually-based metrics for objective evaluation of geometry processing

IEEE Transactions on Multimedia

Volumn 12, Issue 7, 2010, Pages 636-649

  Lavoue, Guillaume ^a   Corsini, Massimiliano ^b  

^a UNIVERSITÉ DE LYON   (France)

^b ISTI CNR   (Italy)

Author keywords

Geometry processing; objective evaluation; perceptual metrics; quality evaluation

Indexed keywords

3D GRAPHICS; 3D OBJECT; COGNITIVE MECHANISMS; GEOMETRY PROCESSING; HAUSDORFF DISTANCE; MESH PROCESSING; OBJECTIVE EVALUATION; PERCEPTUAL METRICS; PROCESSING TECHNIQUE; QUALITY EVALUATION; VISUAL APPEARANCE; VISUAL IMPAIRMENT;

COMPUTATIONAL GEOMETRY; THREE DIMENSIONAL; THREE DIMENSIONAL COMPUTER GRAPHICS; VISUALIZATION;

QUALITY CONTROL;

EID: 77958122061     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2010.2060475     Document Type: Article

References (45)

1. J.-W. Cho, R. Prost, and H.-Y. Jung, "An oblivious watermarking for 3-D polygonal meshes using distribution of vertex norms," IEEE Trans. Signal Process., vol.55, no.1, pp. 142-155, Jan. 2007.
2. M. Garland and P. S. Heckbert, "Surface simplification using quadric error metrics," in Proc. ACM Siggraph, 1997, pp. 209-216.
3. K. Hildebrandt and K. Polthier, "Anisotropic filtering of non-linear surface features," Comput. Graphics Forum, vol.23, no.3, pp. 391-400, Sep. 2004, also in Proc. Eurographics 2004.
4. S. Daly, "The visible differences predictor: An algorithm for the assessment of image fidelity," in Digital Imaging and Human Vision, A. B. Watson, Ed. Cambridge, MA: MIT Press, 1993, pp. 179-206.
5. M. Eckert and A. Bradley, "Perceptual quality metrics applied to still image compression," Signal Process., vol.70, no.3, pp. 177-200, 1998.
6. Z. Wang and A. Bovik, Modern Image Quality Assessment. San Rafael, CA: Morgan & Claypool, 2006.
7. P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "Perceptual blur and ringing metrics: Application to jpeg2000," Signal Process.: Image Commun., vol.19, no.2, pp. 163-172, 2004.
8. P. Lindstrom and G. Turk, "Image-driven simplification," ACM Trans. Graphics, vol.19, no.3, pp. 204-241, 2000.
9. J. Lubin, "A visual discrimination model for imaging system design and evaluation," in Visual Models for Target Detection and Recognition, E. Peli, Ed. New York: World Scientific, 1995, pp. 245-283.
10. N. Williams, D. Luebke, J. D. Cohen, M. Kelley, and B. Schubert, "Perceptually guided simplification of lit, textured meshes," in Proc. 2003 Symp. Interactive 3D Graphics (I3D '03), New York, 2003, pp. 113-121, ACM.
11. L. Qu and G. W. Meyer, "Perceptually guided polygon reduction," IEEE Trans. Vis. Comput. Graphics, vol.14, no.5, pp. 1015-1029, Sep./Oct. 2008.
12. M. Reddy, "Perceptually modulated level of detail for virtual environments," Ph.D. dissertation, Dept. Comput. Sci., University of Edinburgh, Edinburgh, U.K., 1997.
13. M. R. Bolin and G. W. Meyer, "A perceptually based adaptive sampling algorithm," in Proc. 25th Annu. Conf. Computer Graphics and Interactive Techniques (SIGGRAPH '98), New York, 1998, pp. 299-309, ACM.
14. M. Ramasubramanian, S. N. Pattanaik, and D. P. Greenberg, "A perceptually based physical error metric for realistic image synthesis," in Proc. 26th Annu. Conf. Computer Graphics and Interactive Techniques (SIGGRAPH '99),NewYork, 1999, pp. 73-82,ACM/Addison-Wesley.
15. R. Dumont, F. Pellacini, and J. A. Ferwerda, "Perceptually-driven decision theory for interactive realistic rendering," ACMTrans. Graphics, vol.22, no.2, pp. 152-181, 2003.
16. J. A. Ferwerda, P. Shirley, S. N. Pattanaik, and D. P. Greenberg, "A model of visual masking for computer graphics," in Proc. 24th Annu. Conf. Computer Graphics and Interactive Techniques (SIGGRAPH '97), New York, 1997, pp. 143-152, ACM/Addison-Wesley.
17. G. Ramanarayanan, J. Ferwerda, B. Walter, and K. Bala, "Visual equivalence: Towards a new standard for image fidelity," in ACM SIGGRAPH 2007 Papers (SIGGRAPH '07), New York, 2007, p. 76, ACM.
18. B. E. Rogowitz and H. E. Rushmeier, "Are image quality metrics adequate to evaluate the quality of geometric objects," Proc. Human Vision and Electronic Imaging, pp. 340-348, 2001.
19. H. Yee, S. Pattanaik, and D. P. Greenberg, "Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments," ACM Trans. Graphics, vol.20, no.1, pp. 39-65, 2001.
20. K. Myszkowski, "Perception-based global illumination, rendering, and animation techniques," in Proc. 18th Spring Conf. Computer Graphics (SCCG '02), New York, 2002, pp. 13-24, ACM.
21. S. Kim, S. Kim, and C. Kim, "Discrete differential error metric for surface simplification," Pacific Graphics, pp. 276-283, 2002.
22. S. Howlett, J. Hamill, and C. O'Sullivan, "An experimental approach to predicting saliency for simplified polygonal models," in Proc. 1st Symp. Applied Perception in Graphics and Visualization (APGV '04), New York, 2004, pp. 57-64, ACM.
23. C. H. Lee, A. Varshney, and D. W. Jacobs, "Mesh saliency," in ACM SIGGRAPH 2005 Papers (SIGGRAPH '05), New York, 2005, pp. 659-666, ACM.
24. Z. Karni and C. Gotsman, "Spectral compression of mesh geometry," in Proc. 27th Annu. Conf. Computer Graphics and Interactive Techniques (SIGGRAPH '00), New York, 2000, pp. 279-286, ACM/Addison- Wesley..
25. Y. Pan, I. Cheng, and A. Basu, "Quality metric for approximating subjective evaluation of 3-d objects," IEEE Trans. Multimedia, vol.7, no.2, pp. 269-279, Apr. 2005.
26. E. Drelie Gelasca, T. Ebrahimi, M. Corsini, and M. Barni, "Objective evaluation of the perceptual quality of 3D watermarking," in Proc. IEEE Int. Conf. Image Processing (ICIP), 2005.
27. M. Corsini, E. Drelie Gelasca, T. Ebrahimi, and M. Barni, "Watermarked 3d mesh quality assessment," IEEE Trans. Multimedia, vol.9, no.2, pp. 247-256, Feb. 2007.
28. G. Lavoué, E. Drelie Gelasca, F. Dupont, A. Baskurt, and T. Ebrahimi, "Perceptually driven 3d distance metrics with application to watermarking," Proc. SPIE Applications of Digital Image Processing XXIX, vol.6312, 2006.
29. Z. Bian, S.-M. Hu, and R. Martin, "Comparing small visual differences between conforming meshes," in GMP, ser. Lecture Notes in Computer Science, F. Chen and B. Jüttler, Eds. New York: Springer, 2008, vol.4975, pp. 62-78.
30. Z. Bian, S.-M. Hu, and R. R. Martin, "Evaluation for small visual difference between conforming meshes on strain field," J. Comput. Sci. Technol., vol.24, no.1, pp. 65-75, 2009.
31. O. Sorkine, D. Cohen-Or, and S. Toldeo, "High-pass quantization for mesh encoding," in Proc. Eurographics Symp. Geometry Processing, 2003, pp. 42-51.
32. P. Cignoni, C. Rocchini, and R. Scopigno, "Metro: Measuring error on simplifed surfaces," Comput. Graphics Forum, vol.17, no.2, pp. 167-174, 1998.
33. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol.13, no.4, pp. 600-612, Apr. 2004.
34. J.-H. Wu, S.-M. Hu, J.-G. Sun, and C.-L. Tai, "An effective featurepreserving mesh simplification scheme based on face constriction," in Proc. Pacific Conf. Computer Graphics and Applications, 2001, vol.0, p. 0012.
35. M. Corsini, E. Drelie Gelasca, and T. Ebrahimi, "A multi-scale roughness metric for 3D watermarking quality assessment," in Proc. Workshop Image Analysis for Multimedia Interactive Services 2005, Montreux, Switzerland, Apr. 13-15, SPIE, 2005, ser. ISCAS.
36. R. Ohbuchi, A. Mukaiyama, and S. Takahashi, "A frequency-domain approach to watermarking 3D shapes," Comput. Graphic Forum, vol.21, no.3, pp. 373-382, 2002.
37. K. Wang, G. Lavoué, F. Denis, and A. Baskurt, "Hierarchical watermarking of semi-regular meshes based on wavelet transform," IEEE Trans. Inf. Forensics Security, vol.3, no.4, pp. 620-634, Dec. 2008.
38. B. Vallet and B. Lévy, "Spectral geometry processing with manifold harmonics," Comput. Graphic Forum, vol.27, no.2, pp. 251-260, 2008.
39. G. Lavoué, "A local roughness measure for 3d meshes and its application to visual masking," ACM Trans. Appl. Percept., vol.5, no.4, p. 21, 2009.
40. E. D. Gelasca, "Full-reference objective quality metrics for video watermarking, video segmentation and 3D model watermarking," Ph.D. dissertation, EPFL, Lausanne, Switzerland, 2005.
41. ITU Recommendation BT.500-10: Methodology for Subjective Assessment of the Quality of Television Pictures, 2000.
42. J. L. Shrout and P. Fleiss, "Intraclass correlation: Uses in assessing rater reliability," Psychol. Bull., vol.86, no.2, pp. 420-428, 1979.
43. W. W. Daniel, Biostatistics: A Foundation for Analysis in the Health Sciences Books, 7th ed. New York: Wiley, 1999.
44. G. Taubin, "A signal processing approach to fair surface design," in Proc. 22nd Annu. Conf. Computer Graphics and Interactive Techniques (SIGGRAPH '95), New York, 1995, pp. 351-358, ACM.
45. J. Ferwerda, G. Ramanarayanan, K. Bala, and B.Walter, "Visual equivalence: An object-based approach to image quality," in Proc. IS&T 16th Color Imaging Conf., 2008.