Object Recognition Under Difficult Conditions Based on Superpixel

言語	英語
種類	研究会等の予稿
著者	Martin Klinkigt，Koichi Kise
論文名	Object Recognition Under Difficult Conditions Based on Superpixel
論文誌名	平成22年電気関係学会関西連合大会講演論文集
発表番号	4P303-14
ページ	pp.920-921
査読の有無	無
年月	2010年11月
分野	物体認識
キー	`Klinkigt2010_Conf` (id=1184)

要約

In computer vision the task of object recognition is to recognize a certain object in an provided image. For this task a description about the object of interest is learned from images. This process often involves the use of local features like SIFT which can be extracted reliably from images, even if the resolution or the lighting conditions change. The drawback of such local features are that they may lose discriminative power to distinguish between similar objects or the object from the background.

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出力結果

@inproceedings{Klinkigt2010_Conf, author = {Klinkigt, Martin and Kise, Koichi}, title = {Object Recognition Under Difficult Conditions Based on Superpixel}, booktitle = {平成22年電気関係学会関西連合大会講演論文集}, year = 2010, month = nov, pages = {920--921}, note = {4P303-14} }

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Object Recognition Under Difficult Conditions Based on Superpixel

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