dc.contributor.author |
Kraisin, Somkheart |
|
dc.date.accessioned |
2563-08-30T03:32:47Z |
|
dc.date.available |
2563-08-30T03:32:47Z |
|
dc.date.issued |
2560 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/2054 |
|
dc.description |
บทความวิจัย |
en_US |
dc.description.abstract |
At the present, the number of cars on the road
are increasing continuously that the difficulties in
remembering and identifying brand if only the human
manage the data of cars running on the road. Computer has
been used for identifying car brand on the road for reducing
police’s responsibilities. The research shall apply pattern
recognition technique to study using SIFT for extracting image
local feature. The extracting image local feature shall verify
cars with the most similar images in database for prediction
that cars brand by using Similarity Measurement.
The Similarity Measurement shall vote the best correct image
and identify brand
by developing the research with python |
en_US |
dc.description.sponsorship |
Defense Technology Institute |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Defense Technology Institute |
en_US |
dc.relation.ispartofseries |
6044; |
|
dc.subject |
Sift |
en_US |
dc.subject |
Image Processing |
en_US |
dc.subject |
Pattern Matching |
en_US |
dc.title |
Car Brand Recognition Using Sift |
en_US |
dc.type |
Article |
en_US |