Title :
Selective scene modeling
Author :
F. Solina;A. Leonardis
Author_Institution :
Comput. Vision Lab., Ljubljana Univ., Slovenia
fDate :
6/14/1905 12:00:00 AM
Abstract :
Proposes an efficient architecture for selective image modeling. The authors give an example in which models of different scale are reconstructed in parallel. It is shown that this redundant representation can effectively be pruned using the criterion of minimum description length. Models that are selected in the final description indicate the appropriate scale of observation.
Keywords :
"Layout","Image reconstruction","Computer architecture","Machine vision","Computer vision","Biological system modeling","Shape","Laboratories","Computer science","Biological information theory"
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201514