On the role of color in the perception of motion in animated visualizations

IEEE Visualization 2004 - Proceedings, VIS 2004

Volumn , Issue , 2004, Pages 305-312

  Weiskopf, Daniel ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Color; Flow visualization; Human visual system; Information visualization; Luminance; Motion detection; Perception

Indexed keywords

HUMAN VISUAL SYSTEMS; INFORMATION VISUALIZATION; LUMINANCE; MOTION DETECTION;

ANIMATION; COLOR; COMPUTER GRAPHICS; FLOW VISUALIZATION; LUMINESCENCE; RELIABILITY; SENSORY PERCEPTION; TEXTURES; TREES (MATHEMATICS);

MOTION ESTIMATION;

EID: 17044418849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (91)

1. S. M. Anstis and P. Cavanagh. A minimum motion technique for judging equiluminance. In J. D. Mollon and E. T. Sharpe, editors, Colour Vision, pages 155-166, New York, 1983. Academic Press.
2. L. Bartram. Perceptual and interpretative properties of motion for information visualization. Technical Report CMPT-TR-1997-15, School of Computing Science, Simon Fraser University, 1997.
3. L. Bartram and C. Ware. Filtering and brushing with motion. Information Visualization, 1(1):66-79, 2002.
4. R. A. Becker and W. S. Cleveland. Brushing scatterplots. Technometriw, 29(2):127-142, 1987.
5. R. M. Boynton. Human Color Vision. Holt, Rinehart & Winston, New York, 1979.
6. R. Brown, B. Pham, and A. Maeder. A fuzzy model for scene decomposition based on preattentive visual features. In Proceedings of SPIE, 3644, pages 461-472, 1999.
7. R. Brown, B. Pham, and A. Maeder. Visual importance-biased image synthesis animation. In Proceedings of the 1st International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, pages 63-70, 2003.
8. B. Cabral and L. C. Leedom. Imaging vector fields using line integral convolution. In Proceedings of SIGGRAPH 1993, pages 263-270, 1993.
9. F. W. Campbell and L. Maffei. The influence of spatial frequency and contrast on the perception of moving patterns. Vision Research, 21:713-721, 1981.
10. P. Cavanagh and S. Anstis. The contribution of color to motion in normal and color-deficient observers. Vision Research, 31:2109-2148, 1991.
11. P. Cavanagh and O. E. Favreau. Color and luminance share a common motion pathway. Vision Research, 25:1595-1601, 1985.
12. P. Cavanagh, C. W. Tyler, and O. E. Favreau. Perceived velocity of moving chromatic gratings. Journal of the Optical Society of America A, 1(8):893-899, 1984.
13. A. Chalmers, S. Daly, A. McNamara, K. Myszkowski, H. Rushmeier, and T. Troscianko. Seeing is believing: Reality perception in modeling, rendering, and animation. SIGGRAPH 2001 Course #21 Notes, 2001.
14. S. J. Cropper. Velocity discrimination in chromatic gratings and beats. Vision Research, 34:41-48, 1994.
15. S. J. Cropper and A. M. Derrington. Motion of chromatic stimuli: First-order or second-order? Vision Research, 34:49-58, 1994.
16. S. J. Cropper and A. M. Derrington. Rapid colour-specific detection of motion in human vision. Nature, 379:72-74, 1996.
17. S. Daly. The visible differences predictor: An algorithm for the assessment of image fidelity. In A. B. Watson, editor, Digital Images and Human Vision, pages 179-206, Cambridge, 1993. MIT Press.
18. A. M. Derrington and D. R. Badcock. The low level motion system has both chromatic and luminance inputs. Vision Research, 25:1879-1884, 1985.
19. A. M. Derrington and G. Henning. Detecting and discriminating the direction of motion of luminance and colour gratings. Vision Research, 33:799-811, 1993.
20. H. L. DeVries. The heredity of the relative numbers of red and green receptors in the human eye. Genetica, 24:199-212, 1948.
21. K. R. Dobkins and T. D. Albright. What happens if it changes color when it moves?: The nature of chromatic input to macaque visual area MT. Journal of Neuroscience, 14:4854-4870, 1994.
22. J. Driver, P. McLeod, and Z. Dienes. Motion coherence and conjunction search: Implications for guided search theory. Perception and Psychophysics, 51(1):79-85, 1992.
23. R. Dumont, F. Pellacini, and J. A. Ferwerda. Perceptually-driven decision theory for interactive realistic rendering. ACM Transactions on Graphics, 22(2):152-181, 2003.
24. F. Durand, M. Agrawala, B. Gooch, V. Interrante, V. Ostromoukhov, and D. Zorin. Perceptual and artistic principles for effective computer depiction. SIGGRAPH2002 Course #13 Notes, 2002.
25. J. A. Ferwerda, S. N. Pattanaik, P. Shirley, and D. P. Greenberg. A model of visual adaptation for realistic image synthesis. In Proceedings of SIGGRAPH 1996, pages 249-258, 1996.
26. J. A. Ferwerda, H. Rushmeier, and B. Watson. Psychometrics 101: How to design, conduct, and analyze perceptual studies of computer graphics visualization techniques. IEEE Visualization 2002 Tutorial #7, 2002.
27. J. A. Ferwerda, H. Rushmeier, and B. Watson. Frontiers in perceptually-based image synthesis: Modeling, rendering, display, validation. SIGGRAPH 2003 Course #5 Notes, 2003.
28. K. R. Gegenfurtner and M. J. Hawken. Temporal and chromatic properties of motion mechanisms. Vision Research, 35:1547-1563, 1995.
29. A. Gooch, B. Gooch, P. Shirley, and E. Cohen. A non-photorealistic lighting niodel for automatic technical illustration. In SIGGRAPH 1998 Conference Proceedings, pages 101-108, 1998.
30. M. J. Hawken, K. R. Gegenfurtner, and C. Tang. Contrast dependence of colour and luminance motion mechanisms in human vision. Nature, 367:268-270, 1994.
31. C. G. Healey, K. S. Booth, and J. T. Enns. Visualizing real-time multivariate data using preattentive processing. ACM Transactions on Modeling and Computer Simulation, 5(3):190-221, 1995.
32. C. G. Healey, K. S. Booth, and J. T. Enns. High-speed visual estimation using preattentive processing. ACM Transactions on Computer-Human Interaction, 3(2):107-135, 1996.
33. L. M. Hurvich. Color Vision. Sinauer Associates, Sunderland, 1981.
34. V. Interrante, P. Rheingans, J. Ferwerda, R. Gossweiler, and C. Healey. Applications of visual perception in computer graphics. SIGGRAPH 1998 Course #32 Notes, 1998.
35. L. Itti and C. Koch. Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3): 194-203, 2001.
36. D. B. Judd. Report of U.S. Secretariate Committee on Colorimetry and Artificial Daylight. In CIE Proceedings. Bureau Central CIE, Paris, 1951.
37. E. R. Kandel, J. H. Schwartz, and T. M. Jessell, editors. Essentials of Neural Science and Behavior. Appleton & Lange, Norwalk, 1995.
38. D. H. Kelly. Motion and vision. II. Stabilized spatio-temporal threshold surface. Journal of the Optical Society of America, 69(10): 1340-1349, 1979.
39. G. Kindlmann. Face-based luminance matching: Software. Web page: http://www.cs.utah.edu/~gk/lumFace, 2002.
40. G. Kindlmann, E. Reinhard, and S. Creem. Face-based luminance matching for perceptual colormap generation. In IEEE Visualization 2002 Conference, pages 299-306, 2002.
41. R. S. Laramee, H. Hauser, H. Doleisch, B. Vrolijk, F. H. Post, and D. Weiskopf. The state of the art in flow visualization: Dense and texture-based techniques. Computer Graphics Forum, 23(2):203-221, 2004.
42. H. Levkowitz, V. Interrante, and H. P. Meinzer. Perception for visualization: From design to evaluation. IEEE Visualization 1998 Tutorial #4,1998.
43. S. Limoges, C. Ware, and W. Knight. Displaying correlations using position, motion, point size or point color. In Graphics Interface, pages 262-265, 1989.
44. M. Livingstone and D. Hubel. Psychophysical evidence for separate channels for the perception of form, color, movement, and depth. Journal of Neuroscience, 7:3416-346, 1987.
45. N. K. Logothetis, P. H. Schiller, E. Charles, and A. C. Hurlbert. Perceptual deficits and the activity of the color-opponent and broad-band pathways at isoluminance. Science, 247(4939):214-217, 1990.
46. Z.-L. Lu, L. Lesmes, and G. Sperling. Perceptual motion standstill from rapidly moving chromatic displays. In Proceedings of National Academy of Science, 96, pages 15374-15379, 1999.
47. Z.-L. Lu and G. Sperling. Attention-generated apparent motion. Nature, 379:237-239, 1995.
48. Z.-L. Lu and G. Sperling. Sensitive calibration and measurement procedures based on the amplification principle in motion perception. Vision Research, 41:2355-2374, 2001.
49. Z.-L. Lu and G. Sperling. Three-systems theory of human visual motion perception: Review and update. Journal of the Optical Society of America A, 18(9):2331-2370, 2001.
50. J. Lubin. A visual system discrimination model for imaging system design and evaluation. In E. Peli, editor, Visual Models for Target Detection and Recognition, pages 245-283, New York, 1995. World Scientific.
51. E. B. Lum, A. Stempel, and K.-L. Ma. Using motion to illustrate static 3D shape - kinetic visualization. IEEE Transactions on Visualization and Computer Graphics, 9(2): 115-126, 2003.
52. A. McNamara, A. G. Chalmers, T. Troscianko, and I. Gilchrist. Comparing real and synthetic scenes using human judgements of lightness. In Eurographics Workshop on Rendering, pages 207-219, 2000.
53. A. B. Metha and K. T. Mullen. Failure of direction discrimination at detection threshold for both fast and slow chromatic motion. Journal of the Optical Society of America A, 15(12):2945-2950, 1998.
54. K. T. Mullen. The contrast sensitivity of human colour vision to redgreen and blue-yellow chromatic gratings. The Journal of Physiology, 359(1):381-400, 1985.
55. K. T. Mullen and C. L. Baker, Jr. A motion aftereffect from an isoluminant stimulus. Vision Research, 25:685-688, 1985.
56. K. T. Mullen and J. C. Boulton. Absence of smooth motion perception in color vision. Vision Research, 32:483-488,1992.
57. K. T. Mullen, T. Yoshizawa, and C. L. Baker, Jr. Luminance mechanisms mediate the motion of red-green isoluminant gratings: The role of "temporal chromatic aberration". Vision Research, 43:1235-1247, 2003.
58. K. Myszkowski, P. Rokita, and T. Tawara. Perception-based fast rendering and antialiasing of walkthrough sequences. IEEE Transactions on Visualization and Computer Graphics, 6(4):360-379, 2000.
59. K. Myszkowski, T. Tawara, H. Akamine, and H.-P. Seidel. Perception-guided global illumination solution for animation rendering. In Proceedings of SIGGRAPH 2001, pages 221-230, 2001.
60. K. Nakayama and G. H. Silverman. Serial and parallel processing of visual feature conjunctions. Nature, 320:264-265, 1986.
61. D. Nguyen-Tri and J. Faubert. Perceived speed of drifting chromatic gratings is mechanism dependent. Vision Research, 42:2073-2079, 2002.
62. J. Palmer, L. A. Mobley, and D. Y. Teller. Motion at isoluminance: Discrimination/detection ratios and the summation of luminance and chromatic signals. Journal of the Optical Society of America A, 10:1353-1362, 1993.
63. T. V. Papathomas, A. Gorea, and B. Julesz. Two carriers for motion perception: Color and luminance. Vision Research, 31:1883-1892, 1991.
64. S. N. Pattanaik, J. A. Ferwerda, D. A. Greenberg, and M. D. Fairchild. A multiscale model of adaptation and spatial vision for realistic imaging. In Proceedings of SIGGRAPH 1998, pages 287-298, 1998.
65. V. S. Ramachandran and R. L. Gregory. Does colour provide an input to human motion perception? Nature, 273:55-57, 1978.
66. A. Rezec, B. Krekelberg, and K. Dobkins. Effects of contrast and attention on chromatic vs. achromatic motion processing [Abstract]. Journal of Vision, 2004.
67. P. Rheingans. Dynamic color mapping of bivariate qualitative data. In IEEE Visualization 2002 Conference, pages 159-166, 1997.
68. P. Rheingans and C. Landreth. Perceptual principles for effective visualizations. In G. Grinstein and H. Levkowitz, editors, Perceptual Issues in Visualization, pages 59-74. Springer Verlag, 1995.
69. B. Rogowitz and L. Treinish. How NOT to lie with visualization. Computers in Physics, 10(3):268-274, 1996.
70. H. Rushmeier, G. J. Ward, C. Piatko, P. Sanders, and B. Rust. Comparing real and synthetic images: Some ideas about metrics. In EG Rendering Workshop 1995, pages 82-91, 1995.
71. H. Saito, K. Tanaka, M. Yasuda, and A. Mikami. Directionally selective response of cells in the middle temporal area (MT) of the macaque monkey to the movement of equiluminous opponent color stimuli. Brain Research, 15:1-14, 1989.
72. A. Sanna, B. Montrucchio, and P. Montuschi. A survey on visualization of vector fields by texture-based methods. Recent Res. Devel. Pattern Rec., 1:13-27, 2000.
73. A. E. Seiffert and P. Cavanagh. Position-based motion perception for colour and texture stimuli: Effects of contrast and speed. Vision Research, 39:4172-4185, 1999.
74. C. F. Stromeyer, R. E. Kronauer, A. Ryu, A. Chaparro, and R. T. Eskew. Contributions of human long-wave and middle-wave cones to motion detection. The Journal of Physiology, 485(1):221-243, 1995.
75. R. M. Taylor II, C. Ware, and V. Interrante. Perceptually-based visualization design. SIGGRAPH2003 Course #45 Notes, 2003.
76. P. Thompson. Perceived rate of movement depends on contrast. Vision Research, 22:377-380, 1982.
77. A. Treisman. Preattentive processing in vision. Computer Vision, Graphics, and Image Processing, 31:156-177, 1985.
78. S. Treue, M. Husain, and R. A. Andersen. Human perception of structure from motion, Vision Research, 31:59-75, 1991.
79. T. Troscianko and M. Fahle. Why do isoluminant stimuli appear slower? Journal of the Optical Society of America A, 5(6):871-880, 1988.
80. T. Urness, V. Interrante, I. Marusic, E. Longmire, and B. Ganapathisubramani. Effectively visualizing multi-valued flow data using color and texture. In IEEE Visualization 2003 Conference, pages 115-122, 2003.
81. H. Wallach and D. N. O'Connell. The kinetic depth effect. Journal of Experimental Psychology, 45(4):205-217, 1953.
82. C. Ware. Color sequences for univariate maps. IEEE Computer Graphics and Applications, 8(5):41-49, 1988.
83. C.Ware. Information Visualization: Perception for Design. Morgan Kaufmann, San Francisco, 2000.
84. C. Ware. Lecture 2: Early vision and color. In SIGGRAPH 2003 Course #45 Notes, 2003.
85. D. Weiskopf. Perception-based visualization. Web page: http: //www.vis.uni-stuttgart.de/perception, 2004.
86. D. Weiskopf, G. Erlebacher, and T. Ertl. A texture-based framework for spacetime-coherent visualization of time-dependent vector fields. In IEEE Visualization 2003 Conference, pages 107-114, 2003.
87. D. Weiskopf and T. Ertl. A hybrid physical/device-space approach for spatio-temporally coherent interactive texture advection on curved surfaces. In Graphics Interface 2004, pages 263-270, 2004.
88. W. Wolfe. Visual search. In H. E. Pashler, editor, Attention, pages 13-73, Hove, 1998. Psychology Press.
89. H. Yee, S. Pattanaik, and D. P. Greenberg. Spatiotemporal sensitivity and visual attention for efficient rendering of dynamic environments. ACM Transactions on Graphics, 20(1):39-65, 2001.
90. T. Yoshizawa, K. T. Mullen, and C. L. Baker, Jr. Absence of a chromatic linear motion mechanism in human vision. Vision Research, 40:1993-2010, 2000.
91. S. M. Zeki. Uniformity and diversity of structure and function in rhesus monkey prestriate visual cortex. The Journal of Physiology, 277:273-290, 1978.