發(fā)布時(shí)間：2018-04-23 15:44

  本文選題：顱面復(fù)原 + 顱面點(diǎn)對(duì)應(yīng)��； 參考：《西北大學(xué)》2017年碩士論文

【摘要】：顱骨面貌復(fù)原技術(shù)在考古學(xué)、法醫(yī)學(xué)、人類學(xué)、刑事偵查等領(lǐng)域有著廣泛應(yīng)用。相比傳統(tǒng)的顱面復(fù)原方法,基于統(tǒng)計(jì)理論的復(fù)原方法更加客觀與科學(xué),其復(fù)原結(jié)果更加接近于真實(shí)面貌。而建立顱骨與顱骨之間、面皮與面皮之間的點(diǎn)對(duì)應(yīng)關(guān)系是基于統(tǒng)計(jì)的顱面復(fù)原方法的前提與關(guān)鍵所在。針對(duì)三維顱面模型間的點(diǎn)對(duì)應(yīng)關(guān)系問(wèn)題,本文進(jìn)行了深入研究,主要研究工作及進(jìn)展包括:1.實(shí)現(xiàn)了三維顱面模型數(shù)據(jù)重建與點(diǎn)對(duì)應(yīng)預(yù)處理。主要包括顱面模型三維重建、法蘭克福(Frankfurt)坐標(biāo)統(tǒng)一、特征點(diǎn)定義及標(biāo)定。通過(guò)三維重建,重構(gòu)了單層的顱骨和面皮的三維網(wǎng)格模型;通過(guò)一系列預(yù)處理,實(shí)現(xiàn)了不同模型坐標(biāo)系的歸一化,且所有樣本模型的特征點(diǎn)數(shù)目相同,為后續(xù)點(diǎn)對(duì)應(yīng)算法的研究工作提供了良好的數(shù)據(jù)基礎(chǔ)。2.提出了一種基于特征點(diǎn)變形與多尺度約束的三維顱面點(diǎn)對(duì)應(yīng)方法。該方法主要考慮到不同模型特征點(diǎn)間的相對(duì)位置差異。首先通過(guò)基于特征點(diǎn)的徑向基函數(shù)變形方法實(shí)現(xiàn)模型間的非剛性配準(zhǔn),使得模型間近似重合;然后建立多尺度約束下的點(diǎn)對(duì)應(yīng)關(guān)系。實(shí)驗(yàn)結(jié)果表明,該算法有效提高了點(diǎn)對(duì)應(yīng)的準(zhǔn)確率。3.提出了一種基于體素模型與多幾何特征約束的三維顱面點(diǎn)對(duì)應(yīng)方法。該方法充分考慮到頂點(diǎn)微分屬性對(duì)顱面模型表面凹凸性和復(fù)雜性的強(qiáng)力表達(dá)。首先建立顱面模型的體素模型,縮小對(duì)應(yīng)點(diǎn)的搜索范圍;然后計(jì)算頂點(diǎn)的微分屬性,并在多幾何特征的共同約束下確定點(diǎn)對(duì)應(yīng)關(guān)系。實(shí)驗(yàn)結(jié)果表明,此方法有效提高了點(diǎn)對(duì)應(yīng)結(jié)果的準(zhǔn)確性,同時(shí)降低了時(shí)間復(fù)雜度。4.本文設(shè)計(jì)并完成了三維顱面點(diǎn)對(duì)應(yīng)系統(tǒng)。其主要目的是建立模板顱面模型與待對(duì)應(yīng)顱面模型之間的點(diǎn)對(duì)應(yīng)關(guān)系,并對(duì)點(diǎn)對(duì)應(yīng)結(jié)果進(jìn)行了可視化。
[Abstract]:Skull face restoration technology has been widely used in archaeology, forensic science, anthropology, criminal investigation and other fields. Compared with the traditional craniofacial restoration method, the method based on statistical theory is more objective and scientific, and the restoration results are closer to the real appearance. Establishing the corresponding relationship between skull and skull and between facial skin and facial skin is the premise and key of the statistical method of craniofacial restoration. Aiming at the problem of the point correspondence between the three dimensional craniofacial models, this paper makes an in-depth study, the main research work and progress include: 1. Three-dimensional craniofacial model data reconstruction and point correspondence preprocessing. It mainly includes 3D reconstruction of craniofacial model, coordinate unification of Frankfurt (Frankfurt), definition and calibration of feature points. Through 3D reconstruction, the three-dimensional mesh model of single layer skull and facial skin is reconstructed, and the normalization of different model coordinates is realized through a series of preprocessing, and the number of feature points of all the sample models is the same. It provides a good data base. 2. 2. A 3D craniofacial point correspondence method based on feature point deformation and multi-scale constraints is proposed. This method mainly considers the relative position difference between different model feature points. Firstly, the non-rigid registration between the models is realized by the radial basis function deformation method based on the feature points, which makes the models approximate coincidence, and then the point correspondence relationship under the multi-scale constraints is established. Experimental results show that the algorithm can effectively improve the veracity of the corresponding points. A 3D craniofacial point correspondence method based on voxel model and multiple geometric feature constraints is proposed. This method takes full account of the strong expression of vertex differential attributes on the surface convexity and complexity of craniofacial model. Firstly, the voxel model of craniofacial model is established to reduce the search range of corresponding points, and then the differential attributes of vertices are calculated, and the corresponding relationship of points is determined under the constraint of multiple geometric features. The experimental results show that this method improves the veracity of the point correspondence and reduces the time complexity. 4. A three-dimensional craniofacial point correspondence system is designed and completed in this paper. The main purpose is to establish the point correspondence between the template craniofacial model and the corresponding craniofacial model, and to visualize the point correspondence results.
【學(xué)位授予單位】：西北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

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