本論文提出一連串的系統與方法，利用影像顯示卡及 CUDA 的平行處理機 制，針對時下需要藉由平行處理的方式來加速的影像處理及影像辨識系統，有 效實現出加速的效果，不僅縮短相較於僅使用 CPU 時執行時間的數倍，執行 效果亦不因此有所減損。
依據實驗結果，本文得到以下結論，我們將全景攝影系統中全向圖與全景圖 轉換的演算法使用 CUDA 的程式架構與 8 個串流處理器進行運算時間是 CPU 的 1/6.33，將車牌辨識系統中我們透過圖形處理器加速車牌文字辨識的計算速度相 較於 CPU，我們可以得到 100 倍的改善。透過平行化的車牌辨識系統能夠減少電 腦判斷時間並降低在動態識別中的誤判，透過平行化後的全向圖轉換演算法能夠 在全景攝影系統上解決高畫質的全向圖影像傳換成全景圖影像 CPU 無法即時轉 換的問題，希望未來本研究論文在消費性電子產品上能夠有所應用。
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自 傳
我
是周文瑞我來自高雄， 2013 年就讀國立臺灣師範大學電機工程學系碩士 班，主要研究將全景攝影系統與車牌辨識系統的平行計算，由於本身很喜歡寫程 式所以平時最大的興趣就是自己一個人在房間裡開發軟體，很感謝林政宏教授能 夠在碩士班擔 任我 的指導教授， 讓我 能夠學習 到 CUDA 以及平行計算 的相 關專業知識，希望畢業後將所學貢獻社會。學 術 成 就
(1.論文發表、2.專利、3.競賽、4.參與研究計畫、5.其他特殊表現)
Cheng-Hung Lin and Wen-Jui Chou, "Acceleration of the Transformation from Elliptic Omnidirectional Images to Panoramic Images Using Graphic Processing Units", in Proc. of IEEE International Conference on Consumer Electronics - TAIWAN (IEEE 2016 ICCE-TW), NANTOU COUNTY, TAIWAN, May 27-29, 2016.