【摘要】：由于顱骨的三維點(diǎn)云數(shù)據(jù)模型復(fù)雜且不同人的顱骨差異較小,對(duì)其配準(zhǔn)精度要求較高。為了提高顱骨點(diǎn)云模型的配準(zhǔn)精度和收斂速度,提出了一種先粗配準(zhǔn)再細(xì)配準(zhǔn)的配準(zhǔn)方法。首先,對(duì)顱骨點(diǎn)云數(shù)據(jù)模型進(jìn)行去噪、簡(jiǎn)化和歸一化等預(yù)處理;然后,通過(guò)區(qū)域劃分、區(qū)域配準(zhǔn)和求解組合系數(shù)以及求解剛體變換等步驟實(shí)現(xiàn)區(qū)域?qū)哟紊系娘B骨粗配準(zhǔn);最后,通過(guò)引入動(dòng)態(tài)迭代系數(shù)來(lái)改進(jìn)基于旋轉(zhuǎn)角約束的迭代最近點(diǎn)算法,并采用該改進(jìn)的ICP算法實(shí)現(xiàn)顱骨的細(xì)配準(zhǔn),從而達(dá)到精確配準(zhǔn)的目的。實(shí)驗(yàn)結(jié)果表明:與ICP算法相比,改進(jìn)的ICP算法的配準(zhǔn)精度和收斂速度分別提高了約30%和50%。證明該種先粗配準(zhǔn)再細(xì)配準(zhǔn)的顱骨點(diǎn)云模型配準(zhǔn)方法是一種精度高、速度快的有效顱骨配準(zhǔn)算法。
[Abstract]:Because the 3D point cloud data model of skull is complex and the difference of skull is small, the registration accuracy is high. In order to improve the registration accuracy and convergence rate of the skull point cloud model, a registration method of coarse registration and fine registration was proposed. Firstly, the cranial point cloud data model is pretreated with de-noising, simplification and normalization, and then the rough registration of skull at the regional level is realized through the steps of region division, region registration, solving the combination coefficient and solving the rigid body transformation. Finally, the iterative nearest point algorithm based on rotation angle constraint is improved by introducing dynamic iterative coefficients, and the improved ICP algorithm is used to realize the fine registration of the skull, so as to achieve the purpose of accurate registration. The experimental results show that the registration accuracy and convergence speed of the improved ICP algorithm are improved by about 30% and 50%, respectively, compared with the ICP algorithm. It is proved that the method of cranial point cloud registration with coarse registration and fine registration is an effective skull registration algorithm with high accuracy and high speed.
【作者單位】： 咸陽(yáng)師范學(xué)院教育科學(xué)學(xué)院;西北大學(xué)信息科學(xué)與技術(shù)學(xué)院;北京師范大學(xué)信息科學(xué)與技術(shù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(No.61373117,No.61305032)
【分類(lèi)號(hào)】：TP391.7
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本文編號(hào)：2294913