Using a Reference Point for Local Configuration of SIFT-like Features

言語	英語
種類	研究会等の予稿
著者	Martin Klinkigt，Koichi Kise
論文名	Using a Reference Point for Local Configuration of SIFT-like Features
論文誌名	Proc. of Meeting on Image Recognition and Understanding (MIRU)
発表番号	IS2-29
ページ	pp.960-967
査読の有無	無
年月	2010年7月
分野	物体認識
キー	`Klinkigt2010_MIRU` (id=1185)

要約

In this paper we propose a model to describe the local configuration of SIFT-like features. This information helps to overcome the problem with background clutter in images, i.e., information extracted from areas in the image, which do not belong to the object. Our model is not static as many other proposed models. Instead we calculate during detection a reference point of the object and verify this with the features extracted from the query image. This additional step increases the detection performance around 6\% even under hard conditions, for example, if training images and query images contain background clutter.

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出力結果

@inproceedings{Klinkigt2010_MIRU, author = {Klinkigt, Martin and Kise, Koichi}, title = {Using a Reference Point for Local Configuration of SIFT-like Features}, booktitle = {Proc. of Meeting on Image Recognition and Understanding (MIRU)}, year = 2010, month = jul, pages = {960--967}, note = {IS2-29} }

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Using a Reference Point for Local Configuration of SIFT-like Features

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