Approved for public release; distribution is unlimited / 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. / http://archive.org/details/affineinvarianto00hsut / Captain, Taiwan Republic of China Army
| Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/22865 |
| Date | 12 1900 |
| Creators | Hsu, Tao-i |
| Contributors | Lee, Chin-Hwa, Therrien, Charles W., Naval Postgraduate School (U.S.), Electrical and Computer Engineering |
| Publisher | Monterey, California. Naval Postgraduate School |
| Source Sets | Naval Postgraduate School |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 94 p., application/pdf |
| Rights | Copyright is reserved by the copyright owner |
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