Affine invariant object recognition by voting match techniques
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Author
Hsu, Tao-i
Date
1988-12Advisor
Lee, Chin-Hwa
Second Reader
Therrien, Charles W.
Metadata
Show full item recordAbstract
This thesis begins with a general survey of different
model based systems for object recognition. The advantage and
disadvantage of those systems are discussed. A system is then
selected for study because of its effective Affine invariant
matching [Ref. 1] characteristic. This system involves two
separate phases, the modeling and the recognition. One is
done off-line and the other is done on-line. A Hashing
technique is implemented to achieve fast accessing and voting.
Different test data sets are used in experiments to illustrate
the recognition capabilities of this system. This
demonstrates the capabilities of partial match, recognizing
objects under similarity transformation applied to the models,
and the results of noise perturbation. The testing results
are discussed, and related experiences and recommendations are
presented.
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