Visibility-based blending for real-time applications

ISMAR 2014 - IEEE International Symposium on Mixed and Augmented Reality - Science and Technology 2014, Proceedings

Volumn , Issue , 2014, Pages 63-72

  Fukiage, Taiki ^a   Oishi, Takeshi ^a   Ikeuchi, Katsushi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Blending; Human visual system model; Visibility

Indexed keywords

AUGMENTED REALITY; BLENDING;

ALPHA BLENDING; BACKGROUND SCENES; HUMAN VISUAL SYSTEM MODEL; IMAGE QUALITY ASSESSMENT; REAL-TIME APPLICATION; SUBJECTIVE METRIC; TEXTURE IMAGE; VIRTUAL OBJECTS;

VISIBILITY;

EID: 84945157581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2014.6948410     Document Type: Conference Paper

References (28)

1. A. P. Bradley. A wavelet visible difference predictor. IEEE Transaction on Image Processing, 5: 717-730, 1999.
2. F. W. Campbell and J. G. Robson. Application of fourier analysis to the visibility of gratings. Journal of Physiology, 197: 551-566, 1968.
3. C. R. Carlson, R. W. Cohen, and I. Gorog. Visual processing of simple two-dimensional sine-wave luminance gratings. Vision Research, 17:351-358, 1977.
4. S. J. Daly. Visible differences predictor: an algorithm for the assessment of image fidelity. In Proceedings of SPIE 1666, pages 2-15, 1992.
5. J. M. Foley and G. M. Boynton. A new model of human luminance pattern vision mechanisms: analysis of the effects of pattern orientation, spatial phase, and temporal frequency. In Proceedings of SPIE 2054, pages 32-42, 1994.
6. T. Fukiage, T. Oishi, and K. Ikeuchi. Reduction of contradictory partial occlusion in Mixed Reality by using characteristics of transparency perception. In ISMAR, pages 129-139, 2012.
7. J. L. Gabbard, J E. Swan, D. Hix, S. Jung Kim, and G. Fitch. Active text drawing styles for outdoor augmented reality: A user-based study and design implications. In IEEE Virtual Reality, pages 35-42, 2007.
8. D. J. Heeger. Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9(2): 181-192, 1992.
9. D. H. Hubel and T. N. Wiesel. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology, 160:106-154, 1962.
10. L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11): 1254-1259, 1998.
11. D. Kalkofen, E. Veas, S. Zollmann, M. Steinberger, and D. Schmalstieg, Adaptive Ghosted Views for Augmented Reality. In ISMAR, pages 1-9, 2013.
12. V. Laparra, J. Muñoz-Marí, and J. Malo. Divisive normalization image quality metric revisited. Jounrnal of Optical Society of America A, 27(4): 852-64, 2010.
13. G. E. Legge and J. M. Foley. Contrast masking in human vision. Jounrnal of Optical Society of America, 70(12): 1458-1471, 1980.
14. J. Lubin. A human vision system model for objective picture quality measurements. In International Broadcasting Convention, pages 498-503, 1997.
15. J. Malo and V. Laparra. Psychophysically tuned divisive normalization approximately factorizes the PDF of natural images. Neural computation, 22(12): 3179-3206, 2010.
16. M. W. Marcellin, M. Gormish, A. Bilgin, and M. P. Boliek. An Overview of JPEG2000. Proceedings of the Data Compression Conference, pages 523-544, 2000.
17. K. T. Mullen. The contrast sensitivity of human color vision to redgreen and blue-yellow chromatic gratings. The Journal of Physiology, 359: 381-400, 1985.
18. A. Olmos and F. A. A. Kingdom. Mcgill calibrated colour image database. http://tabby. vision. mcgill. ca., 2004.
19. R. Picard, C. Graczyk, S. Mann, J. Wachman, L. Picard, and L. Campbell. The MIT Vision Textures database. http://vismod. media. mit. edu/vismod/imagery/VisionTexture/vistex. h tml, 1995.
20. T. Porter and T. Duff. Compositing Digital Images. Computer Graphics, 18(3): 253-259, 1984.
21. J. Rekimoto. Squama: a programmable window and wall for future physical architectures. Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pages 667-668, 2012.
22. C. Sandor, A. Cunningham, A. Dey, and V. V. Mattila. An Augmented Reality X-Ray System based on Visual Saliency. In ISMAR, pages 27-36, 2010.
23. H. R. Sheikh, M. F. Sabir, and A. C. Bovik. A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Transactions on Image Processing, 15(11): 3440-3451, 2006.
24. E. Simoncelli and E. Adelson. Subband Image Coding. Norwell, MA: Kluwer Academic Publishers, pages 143-192, 1990.
25. P. C. Teo and D. J. Heeger. Perceptual image distortion. In Proceedings ICIP, pages 982-986, 1994.
26. T. Tsuda, H. Yamamoto, Y. Kameda, and Y. Ohta. Visualization methods for outdoor see-through vision. In ICAT, pages 62-69, 2005.
27. A. B. Watson. The cortex transform: rapid computation of simulated neural images. Computer vision, graphics, and image processing, 39(3):311-327, 1987.
28. A. B. Watson and J. A. Solomon. Model of visual contrast gain control and pattern masking. Jounrnal of Optical Society of America A, 14(9): 2379-2391, 1997.