【摘要】：人臉是非常重要而又復(fù)雜的交流通道,在人類日常生活中起著十分重要的作用,而人臉重建提供了表現(xiàn)和處理人臉信息的有效手段,因此三維人臉建模是一項十分有意義的工作。雙目立體視覺模擬人類雙眼感知場景深度信息,從而實現(xiàn)對三維場景的重建。本文正是利用雙目立體視覺的這一原理來完成對人臉的三維重構(gòu)。具體完成了以下幾方面工作:(1)以張正友標(biāo)定法為理論基礎(chǔ),對攝像機標(biāo)定技術(shù)進行了深入研究。(2)分析了立體匹配中的約束條件,并通過雙目立體視覺極線幾何結(jié)構(gòu)對圖像進行校正。針對現(xiàn)有的立體匹配算法進行了分析。在此基礎(chǔ)上,重點對傳統(tǒng)的歸一化互相關(guān)匹配算法進行了改進,提出了基于遞推增量的雙向歸一化互相關(guān)匹配算法。為進一步去除誤匹配,本文通過對雙目立體視覺模型的分析提出了一種雙目立體視覺異面直線模型。利用該模型求得匹配點在雙目系統(tǒng)中的距離參數(shù),可對誤匹配點對有效的甄別。(3)首先應(yīng)用一種基于區(qū)域生長的視差圖非法點填補方法對初始視差圖進行填補,而后利用亞像素級插值算法對視差圖進行平滑插值運算,最終得到完整、平滑的視差圖。通過優(yōu)化后的視差圖得到人臉三維散亂點云信息。利用三角剖分方法實現(xiàn)人臉的三維重構(gòu)。(4)利用HALCON與MFC的聯(lián)合編程,開發(fā)一個便捷的雙目立體視覺三維人臉重建軟件,驗證了我們所設(shè)計的人臉系統(tǒng)及匹配技術(shù)是可行有效的。
[Abstract]:Face is a very important and complex communication channel, and plays a very important role in human daily life. Face reconstruction provides an effective means to represent and process face information. Therefore, 3D face modeling is a very meaningful work. The binocular stereo vision simulates the depth information of the human binocular perception scene, thus realizing the reconstruction of the three-dimensional scene. In this paper, the principle of binocular stereo vision is used to reconstruct three-dimensional face. The following works are accomplished: (1) based on Zhang Zhengyou's calibration method, the camera calibration technology is deeply studied. (2) the constraint conditions in stereo matching are analyzed. The image is corrected by polar geometric structure of binocular stereo vision. The existing stereo matching algorithms are analyzed. On this basis, the traditional normalized cross-correlation matching algorithm is improved, and a two-way normalized cross-correlation matching algorithm based on recursive increment is proposed. In order to remove the mismatching, this paper presents a binocular stereo vision model based on the analysis of the Binocular Stereo Vision (Binocular Vision), which is a straight line model of binocular stereo vision. The distance parameters of matching points in binocular system can be obtained by using this model, which can be used to distinguish the mismatched points effectively. (3) A region-based disparity map illegal point filling method is first used to fill the initial disparity map. Then the sub-pixel level interpolation algorithm is used to smooth the disparity image, and finally the complete and smooth disparity map is obtained. The 3D scattered point cloud information of face is obtained by the optimized parallax map. The method of triangulation is used to realize the 3D face reconstruction. (4) A convenient 3D face reconstruction software based on binocular stereo vision is developed using the joint programming of HALCON and MFC. The results show that the face system and the matching technique are feasible and effective.
【學(xué)位授予單位】：沈陽航空航天大學(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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