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The application of scene synthesis techniques to the display of multidimensional image data
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Volume 4 ,  Issue 4  (October 1985) table of contents
Pages: 247 - 274  
Year of Publication: 1985
ISSN:0730-0301
Authors
Philip K. Robertson  Australian National Univ. and CSIRO Division of Information Technology, Canberra, Australia
John F. O'Callaghan  CSIRO Division of Information Technology, Canberra, Australia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 24,   Citation Count: 10
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ABSTRACT

Superimposition of two image data sets allows the spatial distribution of one to be directly related to that of the other. If the two data sets have different spatial structures, the composite image is generally confusing and difficult to interpret. A method of representing image data sets in the form of naturally occurring variables in a realistic apparently three-dimensional scene is presented. One data set is represented by the topography of a surface, depicted by shaded-relief methods, while another is represented by the color of the surface, or by the color of an overlaid transparency. Presentation in this form exploits the normal scene decomposition abilities of the human visual system, allowing intuitive appreciation and separation of the scene, and hence data set, variables. The method relies on techniques for the modeling of surfaces and surface reflectance to render the synthesised scenes realistically.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ARVIDSON, R. E., GUINNESS, E. A., STREBECK, J. W., DAVIES, G. F., AND SCHULZ, K.J. Image processing applied to gravity and topography data covering the continental U.S. EOS: Trans. Amer. Geophysical Union, 63, 18 (May 1982), 261-265.
 
2
BECK, J., AND PRAZDNY, K. The perception of transparency with achromatic colors. Tech. Rep. TR-1240, Computer Science Dept., Univ. of Maryland, College Park, Md. (Jan. 1983).
3
4
5
 
6
CIE. CIE recommendations on uniform color spaces--color difference equations, psychometric color terms. CIE Publication No. 15(E-13.1) 1971/(TC-1.3) 1978, Supplement No. 2, 9-12, Bureau Central de la CIE, Paris, 1978.
7
8
9
 
10
HARUYAMA, S., AND BARSKY, B.A. Using stochastic modelling for texture generation. IEEE Comput. Graph. and Appl. (March 1984), 7-19.
 
11
HORN, B. K.P. Hill shading and the reflectance map. In Proceedings of the IEEE, 69, I (Jan. 1981), IEEE, New York, 14-47.
 
12
JUDD, D. B., AND WVSZECKI, G. Color in Business, Science, and Industry. John Wiley & Sons, Inc., New York, 3rd Ed. 1975.
 
13
MARR, D. Vision. W. H. Freeman and Co., New York, 1982.
14
 
15
O'CALLAGHAN, J. F., ROBERTSON, P. K., AND FRASER, D. Colour image display--it's not that simple. In Proceeding of Landsat 81: 2nd Australian Remote Sensing Conference. P. Laut, Ed., Canberra, (1981), pp. 6.8.1-6.8.5.
 
16
 
17
ROBERTSON, P. K., AND O'CALLh6HAN, J.F. The generation of color sequences for univariate and bivariate mapping. IEEE CompEl. Graph. Appl., (to appear), 1985.
 
18
ROBERTSON, P.K. Colour image display: A computational framework based on a uniform colour space. Ph.D. dissertation, Dept. of Computer Science, Australian National University, Canberra, Australia. Also CSIRONET Tech. Rep. No. 27, Canberra, Australia, 1985.
 
19
RUBIN, J. M., AND RICHARDS, W.A. Color vision and image intensities: When are changes material. Biological Cybernetics, 45, (1982), 215-226.
 
20
SANTISTEBAN, A. The perceptual color space of digital image display terminals. IBM. J. Res. & Develop. 27, 2 (Mar. 1983), 127-132.
21
 
22
TAJXMA, J. Uniform color scale applications to computer graphics. CompEl. Vision, Graph. Image Proc. 22, 1 (1983), 305-325.
 
23
TASC IPL SOFTWARE. Advanced digital image analysis for geophysical exploration. Optronics J., (Nov. 1981), 2-7.
 
24
TORRANCE, K. E., AND SPARROW, E.M. Theory for off-specular reflection from roughened surfaces. JOSA, 57, 9 (Sept. 1967), 1105-1114.
 
25
UNIRAS SOFTWARE. European Software Contractors A/S, UNIRAS Software, Inc., Denmark.
 
26
WALL,S, R.H. Film recording of digital color images. IPI Tech. Rep. USCIPI No. 570, University of Southern California, Los Angeles, Calif. (1975).
27
28
 
29
WYSZECK{, G., AND STILES, W.S. Color Science. John Wiley & Sons, Inc., New York (1967).

CITED BY  10


REVIEW

"Robert L Cannon : Reviewer"

This paper presents a technique for interpreting multidimensional data by viewing the spatial superposition of one data set upon the other. The authors suggest that when the two data sets have different underlying spatial structures, then a two-  more...

Collaborative Colleagues:
Philip K. Robertson: colleagues
John F. O'Callaghan: colleagues