具有影像特徵辨識之視覺系統於人形機器人的設計與實現

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Thesis > Item 987654321/52538

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/52538

Title:	具有影像特徵辨識之視覺系統於人形機器人的設計與實現
Other Titles:	Design and implementation of vision system with feature recognition for humanoid robot
Authors:	洪志輝;Hung, Chih-hui
Contributors:	淡江大學電機工程學系碩士班翁慶昌;Wong, Ching-chang
Keywords:	視覺系統;尺度不辨特徵轉換;特徵辨識;特徵比對;人形機器人;Vision System;SIFT;Feature Recognition;Feature matching;humanoid robot
Date:	2010
Issue Date:	2010-09-23 17:54:12 (UTC+8)
Abstract:	針對小型人形機器人，本論文提出一個有效整合機器人系統的架構，此機器人系統擁有共同的資料庫以及統一的機器人變數名稱，使得於機器人各個子系統間溝通能夠更加順利。此外，本論文在此架構下設計實現一個具有影像特徵辨識的視覺系統。本論文使用尺度不變特徵轉換(Scale Invariant Feature Transform, SIFT)作為影像特徵辨識的演算法，以及使用K-d-BBF Tree作為影像特徵比對的演算法。從實驗結果可知，本論文所設計實現的方法確實可以有效的辨識影像特徵，並且能夠準確的辨識出目標物。 In this thesis, a system architecture is proposed to effectively integrate a robotic system for small-size humanoid robot. This system has a common database and variable names are unified so that the communication between each subsystems in the robotic system can be more smoothly. In addition, a vision system with the abilities of feature recognition and matching is designed and implemented in this system architecture. Scale Invariant Feature Transform (SIFT) is used as the image feature recognition algorithm and Kd-BBF Tree is used as the image feature matching algorithm. From the experimental results, we can see that the design and implementation of the method can effectively identify image features, and can accurately identify the target.
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Thesis

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