A multiscale metric for 3D mesh visual quality assessment

Computer Graphics Forum

Volumn 30, Issue 5, 2011, Pages 1427-1437

  Lavoué, Guillaume ^a  

^a UNIVERSITÉ DE LYON   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC DISTORTION; MEAN SQUARE ERROR; MESH GENERATION; SIGNAL DISTORTION;

DISTORTION MEASURES; HUMAN VISUAL PERCEPTION; MEAN OPINION SCORES; PROCESSING OPERATIONS; PROGRESSIVE COMPRESSION; ROOT MEAN SQUARE ERRORS; SUBJECTIVE EXPERIMENTS; VISUAL QUALITY ASSESSMENT;

QUALITY CONTROL;

EID: 80455175819     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2011.02017.x     Document Type: Article

References (38)

1. ALLIEZ P., COHEN-STEINER D., DEVILLERS O., LÉVY B., DESBRUN M.: Anisotropic polygonal remeshing. ACM Transactions on Graphics 22, 3 (2003), 485.
2. ALLIEZ P., TAYEB S., WORMSER C: AABB Tree. CGAL 3.5 edition, 2009.
3. AYDIN T. O., CADÍK M., MYSZKOWSKI K., SEIDEL H.-P.: Video quality assessment for computer graphics applications. ACM Transactions on Graphics 29, 6 (2010), 1.
4. BIAN Z., HU S., MARTIN R.: Evaluation for small visual difference between conforming meshes on strain field. Journal of Computer Science and Technology 24 (2009), 65-75.
5. BOLIN M., MEYER G.: A perceptually based adaptive sampling algorithm. In ACM Siggraph (1998), pp. 299-309.
6. CORSINI M., GELASCA E. D., EBRAHIMI T., BARNI M.: Watermarked 3-D Mesh Quality Assessment. IEEE Transactions on Multimedia 9, 2 (2007), 247-256.
7. CHANDLER D., HEMAMI S.: VSNR: A wavelet-based visual signal-to-noise ratio for natural images. IEEE Transactions on Image Processing 16, 9 (2007), 2284-2298.
8. CHO J., PROST R., JUNG H.: An oblivious watermarking for 3-D polygonal meshes using distribution of vertex norms. IEEE Transactions on Signal Processing 55 (2006), 142-155.
9. CIGNONI P., ROCCHINI C., SCOPIGNO R.: Metro: Measuring Error on Simplified Surfaces. Computer Graphics Forum 17, 2 (1998), 167-174.
10. COHEN-STEINER D., MORVAN J.: Restricted delau-nay triangulations and normal cycle. In 19th Annu. ACM Sympos. Comput. Geom. (2003).
11. DALY S.: The visible differences predictor: an algorithm for the assessment of image fidelity. MIT Press, Cambridge, 1993, pp. 179-206.
12. GELASCA E., EBRAHIMI T., CORSINI M., BARNI M.: Objective evaluation of the perceptual quality of 3D watermarking. IEEE International Conference on Image Processing 2005 (2005), I-241.
13. I.T.U: BT.500-10: Methodology for subjective assessment of the quality of television pictures, 2000.
14. KARNI Z., GOTSMAN C.: Spectral compression of mesh geometry. In ACM Siggraph (2000), pp. 279-286.
15. LAVOUÉ G.: A local roughness measure for 3D meshes and its application to visual masking. ACM Transactions on Applied Perception (TAP) 5, 4 (2009).
16. LAVOUÉ G., CORSINI M.: A comparison of perceptually-based metrics for objective evaluation of geometry processing. IEEE Transactions on Multimedia 12, 7 (2010), 636-649.
17. LAVOUE G., DRELIE GELASCA E., DUPONT F., BASKURT A., EBRAHIMI T.: Perceptually driven 3D distance metrics with application to watermarking. In Proceedings of SPIE (2006), Vol. 6312, pp. 63120L-63120L-12.
18. LINDSTROM P., TURK G.: Evaluation of memoryless simplification. IEEE Transactions on Visualization and Computer Graphics 5, 2 (1999), 98-115.
19. LINDSTROM P., TURK G.: Image Driven Simplification. ACM Transactions on Graphics 19, 3 (2000), 204-241.
20. LEE C., VARSHNEY A., JACOBS D.: Mesh saliency. In ACM Siggraph (2005), pp. 659-666.
21. MCNAMARA A., MANIA K., BANKS M., C: Perceptually-motivated graphics, visualization and 3D displays. ACM SIGGRAPH Courses (2010).
22. PENG J., KUO C.-C. J.: Geometry-guided progressive lossless 3D mesh coding with octree (OT) decomposition. ACM Transactions on Graphics 24, 3 (2005).
23. QU L., MEYER G.: Perceptually guided polygon reduction. IEEE Transactions on Visualization and Computer Graphics 14, 5 (2008), 1015-1029.
24. REDDY M.: Perceptually optimized 3D graphics. IEEE Computer Graphics and Applications 21, 5 (2001), 68-75.
25. RAMANARAYANAN G., FERWERDA J., WALTER B., BALA K.: Visual equivalence: towards a new standard for image fidelity. In ACM Siggraph (2007), ACM, pp. 76-es.
26. ROGOWITZ B. E., RUSHMEIER H.: Are image quality metrics adequate to evaluate the quality of geometric objects? Proceedings of SPIE (2001), 340-348.
27. SORKINE O., COHEN-OR D., TOLDEO S.: High-pass quantization for mesh encoding. In Eurographics Symposium on Geometry Processing (2003), pp. 42-51.
28. SILVA S., SANTOS B. S., FERREIRA C., MADEIRA J.: A Perceptual Data Repository for Polygonal Meshes. International Conference in Visualisation (2009), 207-212.
29. TAUBIN G.: Geometric signal processing on polygonal meshes. Eurographics State of the Art Reports 4 (2000).
30. VALETTE S., CHAINE R., PROST R.: Progressive lossless mesh compression via incremental parametric refinement. In Eurographics Symposium on Geometry Processing (2009), Vol. 28, pp. 1301-1310.
31. VALETTE S., PROST R.: A wavelet-based progressive compression scheme for triangle meshes: Wavemesh. IEEE Transactions on Visualization and Computer Graphics 10, 2 (2004), 123-129.
32. VÁŠA L., SKALA V.: A perception correlated comparison method for dynamic meshes. IEEE transactions on visualization and computer graphics 17, 2 (2011), 220-30.
33. WANG Z., BOVIK A. C.: Modern Image Quality Assessment, Vol. 2. Morgan & Claypool Publishers, 2006.
34. WANG Z., BOVIK A., SHEIKH H., SIMONCELLI E.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13, 4 (2004), 600-612.
35. WANG K., LAVOUÉ G., DENIS F., BASKURT A.: Robust and blind mesh watermarking based on volume moments. Computers & Graphics 35, 1 (2011), 1-19.
36. WANG Z., SIMONCELLI E., BOVIK A.: Multiscale structural similarity for image quality assessment. IEEE Asilomar Conference on Signals, Systems and Computers 2, 1 (2003), 1398-1402.
37. ZHANG L., MOU X., ZHANG D.: FSIM: A Feature Similarity Index for Image Quality Assessment. IEEE Transactions on Image Processing, 99 (2011), 1-1.
38. ZHU Q., ZHAO J., DU Z., ZHANG Y.: Quantitative analysis of discrete 3D geometrical detail levels based on perceptual metric. Computers & Graphics 34, 1 (2010), 55-65.