關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Improvement of Speeded-Up Robust Features for Robot Visual Simultaneous Localization and Mapping

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1 102/2 機電系 王銀添 教授 期刊論文 發佈 Improvement of Speeded-Up Robust Features for Robot Visual Simultaneous Localization and Mapping , [102-2] :Improvement of Speeded-Up Robust Features for Robot Visual Simultaneous Localization and Mapping期刊論文Improvement of Speeded-Up Robust Features for Robot Visual Simultaneous Localization and MappingYin-Tien Wang; Guan-Yu Lin機械與機電工程學系暨研究所Robot mapping;Speeded-up robust features (SURF);Simultaneous localization and mapping (SLAM);Image processing;Robot visionCambridge University PressRobotica 32(4), pp.533-549.A robot mapping procedure using a modified speeded-up robust feature (SURF) is proposed for building persistent maps with visual landmarks in robot simultaneous localization and mapping (SLAM). SURFs are scale-invariant features that automatically recover the scale and orientation of image features in different scenes. However, the SURF method is not originally designed for applications in dynamic environments. The repeatability of the detected SURFs will be reduced owing to the dynamic effect. This study investigated and modified SURF algorithms to improve robustness in representing
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