Abstract
A model-based object recognition system is developed for recognition of polyhedral objects. The system consists of feature extraction, modelling and matching stages. Linear features are used for object descriptions. Lines are obtained from edges using rotation transform. For modelling and recognition process, geometric hashing method is utilized. Each object is modelled using 2-D views taken from the viewpoints on the viewing sphere. A hidden line elimination algorithm is used to find these views from the wire frame model of the objects. The recognition experiments yielded satisfactory results. (author). 8 refs, 5 figs.
Severcan, M;
[1]
Uzunalioglu, H
[2]
- International Centre for Theoretical Physics, Trieste (Italy)
- Middle East Technical Univ., Ankara (Turkey). Dept. of Electrical and Electronics Engineering
Citation Formats
Severcan, M, and Uzunalioglu, H.
Model-based recognition of 3-D objects by geometric hashing technique.
IAEA: N. p.,
1992.
Web.
Severcan, M, & Uzunalioglu, H.
Model-based recognition of 3-D objects by geometric hashing technique.
IAEA.
Severcan, M, and Uzunalioglu, H.
1992.
"Model-based recognition of 3-D objects by geometric hashing technique."
IAEA.
@misc{etde_10119335,
title = {Model-based recognition of 3-D objects by geometric hashing technique}
author = {Severcan, M, and Uzunalioglu, H}
abstractNote = {A model-based object recognition system is developed for recognition of polyhedral objects. The system consists of feature extraction, modelling and matching stages. Linear features are used for object descriptions. Lines are obtained from edges using rotation transform. For modelling and recognition process, geometric hashing method is utilized. Each object is modelled using 2-D views taken from the viewpoints on the viewing sphere. A hidden line elimination algorithm is used to find these views from the wire frame model of the objects. The recognition experiments yielded satisfactory results. (author). 8 refs, 5 figs.}
place = {IAEA}
year = {1992}
month = {Sep}
}
title = {Model-based recognition of 3-D objects by geometric hashing technique}
author = {Severcan, M, and Uzunalioglu, H}
abstractNote = {A model-based object recognition system is developed for recognition of polyhedral objects. The system consists of feature extraction, modelling and matching stages. Linear features are used for object descriptions. Lines are obtained from edges using rotation transform. For modelling and recognition process, geometric hashing method is utilized. Each object is modelled using 2-D views taken from the viewpoints on the viewing sphere. A hidden line elimination algorithm is used to find these views from the wire frame model of the objects. The recognition experiments yielded satisfactory results. (author). 8 refs, 5 figs.}
place = {IAEA}
year = {1992}
month = {Sep}
}