DocumentCode
2414798
Title
Automatic reconstruction of 3D branching objects
Author
Sirakov, Nikolai Metodiev
Author_Institution
Inst. of Mech. & Biomech., Bulgarian Acad. of Sci., Sofia, Bulgaria
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
620
Abstract
In this paper we assume that 3D objects are known as a database containing 3D co-ordinates and gray tone level of the object points. With the help of the database, we construct a sequence of planes containing a set of 2D objects. In order to reconstruct several 3D branching objects we solve the following problems: 1) divide the set of 2D objects to subsets of similar 2D objects; 2) find the branches of similar 2D objects; and 3) connect similar 2D objects and branches. We introduce the term morphological similarity to solve the first problem. We apply morphological sequences to find the branches. We determine the “corresponding” essential points to connect similar 2D objects. We performed experiments to validate the theory, using real data obtained from ore deposit
Keywords
computer vision; image reconstruction; mathematical morphology; mineral processing industry; mining; stereo image processing; visual databases; 3D branching objects; computer vision; database; gray tone level images; image reconstruction; mining industry; morphological sequences; morphological similarity; Biomechanics; Humans; Minerals; Mining industry; Neoplasms; Object detection; Ores; Production; Prosthetics; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546898
Filename
546898
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