本文選題：眼鏡虛擬試戴系統(tǒng)　切入點：人眼檢測　出處：《南京理工大學(xué)》2017年碩士論文

【摘要】：現(xiàn)如今計算機和互聯(lián)網(wǎng)技術(shù)迅猛發(fā)展,各種軟件和商業(yè)模式應(yīng)運而生。同時,由于硬件技術(shù)的不斷提高,智能終端的性能有了飛躍性的改變,其在人們?nèi)粘Ｉ钪邪缪葜匾慕巧?用戶數(shù)量越來越多。隨著移動互聯(lián)網(wǎng)的興起,"互聯(lián)網(wǎng)+"成為一種新的經(jīng)濟態(tài)勢,將傳統(tǒng)產(chǎn)業(yè)和互聯(lián)網(wǎng)結(jié)合起來成為一種更好的發(fā)展方式,越來越多的系統(tǒng)和軟件被開發(fā)出來應(yīng)用在傳統(tǒng)行業(yè)中,煥發(fā)出了行業(yè)新的創(chuàng)新活力。眼鏡主要分為隱形眼鏡和框架眼鏡兩種,而隱形眼鏡中美瞳眼鏡因其美顏效果受到越來越多年輕人喜愛。對于眼鏡行業(yè)來說,目前的主要問題是用戶選擇美瞳或者框架眼鏡樣式都需要多次重復(fù)真實試戴,不友好且不衛(wèi)生,針對這一問題本文提出開發(fā)一個面向智能終端的眼鏡虛擬試戴系統(tǒng)軟件,實現(xiàn)美瞳試戴、框架眼鏡試戴、資訊和更多功能,以提高購買眼鏡的用戶體驗。其中,智能終端性能有了巨大的進步,但運算處理能力無論如何都無法與計算機相提并論,所以如何在智能終端內(nèi)存較低、計算速度較慢的條件下實現(xiàn)人眼和虹膜特征的精確定位以及不同圖像無縫融合是本系統(tǒng)開發(fā)完成的關(guān)鍵。本文工作和主要內(nèi)容是按技術(shù)模塊進行劃分的,分別是特征檢測、圖像融合和Android開發(fā)。首先特征檢測模塊,人眼特征采用了 AdaBoost算法對輸入圖像進行檢測;而虹膜特征則通過霍夫梯度法進行檢測,并利用區(qū)域增長法檢測出虹膜,排除鼻孔誤檢情況,得到更加準(zhǔn)確的特征。然后是圖像融合模塊,對于美瞳與輸入圖像融合,采用了加權(quán)平均法和IHS彩色空間轉(zhuǎn)換法實現(xiàn)美瞳模板與輸入圖像的融合;對于框架眼鏡與輸入圖像融合,則采用了直接復(fù)制法實現(xiàn)框架眼鏡與輸入圖像的融合。最后通過Android開發(fā)技術(shù),利用Activity等組件實現(xiàn)系統(tǒng)的界面和圖像輸入等,并且使用了 NDK開發(fā)技術(shù),完成了對特征檢測、圖像融合本地C++代碼的調(diào)用。實驗結(jié)果表明,本文實現(xiàn)的面向智能終端的眼鏡虛擬試戴系統(tǒng)取得了不錯的試戴效果,能夠滿足用戶的需求,解決了用戶在購買眼鏡過程中需要多次重復(fù)真實試戴等問題,有較好的實際應(yīng)用價值。
[Abstract]:Nowadays, with the rapid development of computer and Internet technology, various software and business models emerge as the times require. At the same time, with the continuous improvement of hardware technology, the performance of intelligent terminals has changed by leaps and bounds. It plays an important role in people's daily life, and the number of users is increasing. With the rise of mobile Internet, "Internet" has become a new economic trend. The combination of traditional industries and the Internet has become a better way of development. More and more systems and software have been developed and applied in traditional industries. Eyeglasses are mainly divided into contact lenses and frame glasses, while contact lenses are loved by more and more young people because of their beautiful appearance. At present, the main problem is that it is not friendly and unsanitary for the user to choose the beauty pupil or the frame glasses, which need to be tried on many times. In order to solve this problem, this paper proposes to develop a software for the virtual glasses trial wear system for intelligent terminal. In order to improve the user's experience of buying glasses, the performance of intelligent terminals has been greatly improved, but the computing and processing ability can not be compared with that of computers in any case. So how to have low memory in smart terminals, The key to the development of this system is to realize the accurate location of human eye and iris features and the seamless fusion of different images under the condition of slow calculation. The work and main contents of this paper are divided according to the technical modules, which are the feature detection, respectively. Image fusion and Android development. Firstly, the human eye features are detected by AdaBoost algorithm, while the iris feature is detected by Hough gradient method, and iris is detected by region growth method. The image fusion module uses weighted averaging method and IHS color space conversion method to realize the fusion of the beauty pupil template and the input image. For the fusion of frame glasses and input image, direct copy method is adopted to realize the fusion of frame glasses and input image. Finally, through Android development technology, the interface and image input of the system are realized by using Activity and other components. Using NDK development technology, the feature detection and image fusion local C code are used. The experimental results show that the glasses virtual trial wear system oriented to intelligent terminal has achieved a good effect. It can meet the needs of the users and solve the problems that the users need to repeat the real wear in the process of purchasing glasses. It has good practical application value.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41

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