摘要
本篇論文是針對眼睛偵測、辨識、追蹤和眼球定位的技術研究，此研究實用性相當廣泛，也是目前熱門的技術，但目前市面販賣人眼研究相關設備的價錢都非常之昂貴，並非一般人能夠負擔的起，所以尋找以低成本的架構來取代如此高額設備，則現有硬體設備可由一般廉價的網路攝影機及配合一般可見光便可實現，因此在軟體部分必須得有效又準確的系統來支援。 在本論文將所提出人眼偵測和辨識的流程，以及眼球中心定位改善的方法，分別為利用眨眼動作，並進一步分析眼睛相關動作與特徵資訊，作為人眼偵測及辨識的方法，另一個方法是改善眼球定位演算法的計算量，並整合數據中的數值及位置，找出最佳的中心位置，作為眼球中心定位的方法，則評估方式是採用2010與2011年的兩篇人眼技術研究論文進行評估比較，分別為眼睛狀態辨識和眼球中心定位技術，最後將以實驗結果顯示，可得知我們所提出的方法對於各種評估數據的準確率皆有很好的表現，並且再評估數據比較也高於此兩篇論文。
並列摘要
Our study is focus on eye detection, identification, tracking and locating. All of study topics are popular and widely varied from human computer interaction in nowadays. Human eye research’s devices are already commercially available, however, the cost of these devices and systems are usually expensive. Finding a low-cost architecture to replace existence high-cost device is an achievable way. In hardware aspect, we could use low-cost web camera with visible light to accomplish. Therefore, in software aspect, the system has to possess efficiency and precision. We proposed an eye detection process and improved approach of eye identification. In addition, we also improve the a method of eyeball centre location. First, We used the action of eyes blinking; then we analyzed relative eye behaviors and features information. The second is reformed the computation of eye positioning algorithm. To seek out the eyeball’s best centre location integrates with data values and positions. The evaluation referred to two papers that belonged to human eye technology and published in 2010 and 2011. One is eye state identification and the other is eyeball centre location. We evaluated and compared with them. Then, the result revealed that our approach is more accurate in any kind of appraisal datum. Moreover, our result data are both higher than two papers that we mentioned.
參考文獻
延伸閱讀
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