文献の詳細
| 論文の言語 | 英語 |
|---|---|
| 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 |
| 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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- BibTeX用エントリー
@InCollection{Klinkigt2010, author = {Martin Klinkigt and Koichi Kise}, 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, presenID = {4P303-14}, pages = {920--921} }