Full text: Papers accepted on the basis of peer-review full manuscripts (Part A)

ISPRS Commission III, Vol.34, Part 3A „Photogrammetric Computer Vision“, Graz, 2002 
  
A metric for comparing relational descriptions. (a) 
IEEE trans. PAMI, 7(1), pp. 90-94. 
Vosselman, G., 1992. 
Relational matching. LNCS 628, Springer-Verlag, Berlin. 
Kim, W. Y and Kak, A. C., 1991. 
3-D object recognition using bipartite matching embedded in 
discrete relaxation. JEEE trans. PAMI, 13(3), pp. 224-251. 
Oommen, B. J. and Loke, R. K. S., 2001. 
On the pattern recognition of noisy subsequence trees. 
IEEE trans. PAMI, 23(9), pp. 929-946. 
Geman, S. and Geman, D., 1984. 
Stochastic relaxation, Gibbs distribution and the Bayesian 
restoration of images. IEEE trans. PAMI, 6, pp. 721-741. 
Young, T. Y. and Fu, K. S. Eds., 1986. Handbook of pattern 
recognition and image processing. Academic Press, San Diego. 
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Iconic indexing by 2-D strings. 
IEEE trans. PAMI, 9(3), pp. 413-428. 
  
Mohan, A., Papageorgiou, C., and Poggio, T., 2001. 
Example-based object detection in image by components. 
IEEE trans. PAMI, 23(4), pp. 349-361. 
Suto, T., Nishikawa, Y., Watanabe, T., and Sugawara, K., 2000. 
Recognizing objects in aerial images. 
Proc. JSPRS 2000, pp.263-266. (in Japanese). 
Nishikawa, Y., Kubo, T., Watanabe, T., and Shinada, T., 2001. 
MLDI: Matching largely deviated landmark-less images. 
Proc. JSPRS 2001, pp.149-152. (in Japanese). 
Vapnik, V., 1998. 
Statistical learning theory. John Wiley & Sons, Inc., New York. 
  
Samet, H., 1993. 
Applications of spatial data structures, Addison-Wesley. 
Figure 9. Matching experiment using real images 
(a) and (b) Task images; 
ACKNOWLEDGEMENTS (a) (408x606) pixels. (scaling, rotation) = (1.00, 0° y, 
(b) (scaling, rotation) — (1.25, 60^), 
(c) and (d) the most similar triangles found in two segmented images 
are shown. The vertices are gravity centers of found ICOs. Gravity 
centers of triangles are also shown; 
(e) matching result 
T. Suto, Y. Nishikawa and T. Kubo, students in our laboratory, 
are acknowledged for prototyping several applications of the 
NSR theory. Mr. F. Komura at Hitachi is acknowledged for 
discussions on aerial image registration problems. Prof. Dr. A. 
Gruen at ATH, who suggested to post this work to PCV'02, is 
also acknowledged. 
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