DocumentCode :
1726793
Title :
3D cuboid scene understanding by a mixed cognitive graph and log-complex mapping paradigm
Author :
Hilsenrath, Oliver A. ; Zeevi, Yehoshua Y.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
fYear :
1988
Firstpage :
696
Abstract :
A methodology is presented for analysis of wire patterns reduced from scenes containing cuboid objects. The 2D wire-pattern graph is partitioned into subgraphs representing individual cuboids. These are in turn mapped onto the log-complex plane to determine by a simple procedure the 3D orientation of each object. The transform from the polar to the log-complex plane is based on a model of the retinotopic mapping which takes place at the level of the visual cortex, which achieves size-and-rotation invariance
Keywords :
graph theory; pattern recognition; physiological models; picture processing; 2D wire-pattern graph; 3D cuboid scene understanding; cognitive graph mapping; log-complex mapping; mixed mapping paradigm; partitioning; pattern recognition; picture processing; retinotopic mapping; segmentation; size-and-rotation invariance; subgraphs; visual cortex; wire pattern analysis; Brain modeling; Computer vision; Image resolution; Layout; Machine vision; Pattern analysis; Retina; Routing; Testing; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28331
Filename :
28331
Link To Document :
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