淡江大學機構典藏:Item 987654321/65320
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    題名: Image Feature Initialization for SLAM and Moving Object Detection
    作者: Wang, Yin-Tien;Ju, Rukg-Chi;Huang, Yu-Wen;Lin, Ming-Chun
    貢獻者: 淡江大學機械與機電工程學系
    關鍵詞: Image feature initialization;Speeded up robust features (SURF);Simnltaneons localization and mapping(SLAM);Moving object detection
    日期: 2009-09
    上傳時間: 2011-10-20 21:40:02 (UTC+8)
    出版者: Japan: ICIC International
    摘要: For robot visual Simultaneous Localization and Mapping (vSLAM), the first task is to initialize the image features. We present an improved feature initialization algorithm for robot SLAM, including detection of image features, selection of good features, calculation of image depth, and update of feature locations. Meanwhile, we extend the usage of the feature initialization algorithm to mapping and detection of features on a moving object. Experimentation is performed with real platform and the results show that the performance of the proposed feature initialization algorithm is efficient for visual SLAM and moving object detection.
    關聯: ICIC Express Letters 3(3)pt.A, pp.477-482
    顯示於類別:[機械與機電工程學系暨研究所] 期刊論文

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