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

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1 101/1 機電系 王銀添 教授 期刊論文 發佈 Robot Simultaneous Localization and Mapping Using Speeded-Up Robust Features , [101-1] :Robot Simultaneous Localization and Mapping Using Speeded-Up Robust Features期刊論文Robot Simultaneous Localization and Mapping Using Speeded-Up Robust FeaturesWang, Yin-tien; Chi, Chen-tung; Feng, Ying-chieh淡江大學機械與機電工程學系Robot Mapping;Speeded-Up Robust Features (SURF);EKF-SLAMStafa-Zurich: Trans Tech Publications Ltd.Applied Mechanics and Materials 284-287, pp.2142-2146An algorithm for robot mapping is proposed in this paper using the method of speeded-up robust features (SURF). Since SURFs are scale- and orientation-invariant features, they have higher repeatability than that of the features obtained by other detection methods. Even in the cases of using moving camera, the SURF method can robustly extract the features from image sequences. Therefore, SURFs are suitable to be utilized as the map features in visual simultaneous localization and mapping (SLAM). In this article, the procedures of detection and matching of the SURF method are modified to improve the image processing speed and
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