本文選題：三維人臉重建 + 三維人臉識(shí)別��； 參考：《南京航空航天大學(xué)》2015年碩士論文

【摘要】：三維人臉識(shí)別技術(shù)是當(dāng)前計(jì)算機(jī)視覺和模式識(shí)別領(lǐng)域的一個(gè)熱門課題,受到國內(nèi)外專家和學(xué)者的廣泛關(guān)注。三維人臉識(shí)別技術(shù)相對于傳統(tǒng)二維人臉識(shí)別方法有諸多優(yōu)點(diǎn),可以解決二維人臉識(shí)別中姿態(tài)、光照變化魯棒性差的問題,但三維人臉樣本不易獲取成為了其廣泛應(yīng)用的一個(gè)阻礙。針對上述問題,本文研究了基于三維重建的人臉識(shí)別技術(shù),利用三維重建算法將單幅人臉圖像重建三維人臉模型,并以此進(jìn)行識(shí)別。本文主要內(nèi)容如下:首先,對三維人臉樣本庫做數(shù)據(jù)標(biāo)準(zhǔn)化操作。首先對樣本庫中模型進(jìn)行姿態(tài)矯正,然后根據(jù)形變模型的原理,采用三維人臉的自動(dòng)對齊方法對三維人臉樣本庫進(jìn)行數(shù)據(jù)標(biāo)準(zhǔn)化。其次,對經(jīng)典形變模型進(jìn)行改進(jìn),提出基于邊緣線的三維人臉重建算法。通過提取二維人臉圖像特征區(qū)域中的邊緣線,采用改進(jìn)型遺傳算法進(jìn)行尋優(yōu)求解,此算法改善了形變模型重建效率。再次,對三維人臉識(shí)別算法進(jìn)行研究,提出了基于測地線采樣的人臉識(shí)別算法。根據(jù)三維人臉上的相鄰點(diǎn)在模型發(fā)生較小形變時(shí),其測地線距離相對不變的原理,在模型上提取測地線鄰域特征表示三維人臉。經(jīng)實(shí)驗(yàn)驗(yàn)證,此算法運(yùn)算效率較高,并且對表情變化具有良好的魯棒性。最后,對基于三維重建的人臉識(shí)別方法進(jìn)行了驗(yàn)證。對人臉三維重建和三維人臉識(shí)別綜合起來加以研究,介紹一種基于三維重建的3D+2D多模態(tài)人臉識(shí)別方法。經(jīng)過實(shí)驗(yàn)驗(yàn)證,本文提出的基于三維重建的3D+2D人臉識(shí)別算法對單幅圖像姿態(tài)變化具有較好的魯棒性,較經(jīng)典算法對姿態(tài)人臉識(shí)別率有所提升。
[Abstract]:The technology of 3D face recognition is a hot topic in the area of computer vision and pattern recognition, attention of experts and scholars at home and abroad. The technology of 3D face recognition compared with traditional 2D face recognition methods have many advantages, can solve the attitude of 2D face recognition, illumination robustness problem, but 3D face samples easy access to become a obstacle to its wide application. In view of the above problems, this paper studies the technology of face recognition based on 3D reconstruction, 3D reconstruction algorithm to reconstruct 3D face model from a single face image, and then recognition. The main contents of this paper are as follows: firstly, the data standardization operation of 3D face samples first. The model sample attitude correction, and then according to the principle of deformation model, automatic alignment method using 3D face of 3D face like The library data standardization. Secondly, the classical deformation model is improved, the 3D face reconstruction algorithm based on edge extraction. The 2D face image feature edge line, using the improved genetic algorithm to solve optimization, this algorithm improves the efficiency of model reconstruction. The deformation of the 3D face again. The recognition algorithm, and proposed a face recognition algorithm based on geodesic sampling. According to the 3D face of the adjacent points in the model had a small deformation, the principle of measuring geodesic relatively constant in the model, extracting geodesic neighborhood feature representation of 3D face. Experiments show that this algorithm is computationally efficient, and robust good for facial expressions. Finally, the method of face recognition based on 3D reconstruction is verified. The 3D face reconstruction and 3D face recognition are combined to study, A 3D+2D multimodal face recognition method based on 3D reconstruction is introduced. After experimental verification, the proposed 3D+2D face recognition algorithm based on 3D reconstruction has better robustness to pose change of single image, and improves the recognition rate of face recognition compared with classical algorithm.

【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP391.41

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