CAJ | 학술논문

针对传统三维人脸重建算法精度低且难以满足实际应用的缺陷，提出一种基于特征分块的快速三维人脸重建算法。该算法首先利用基于平面模板的重采样法实现三维数据规范化；其次，根据人脸特征对人脸分块，根据主动形状模型算法进行面部特征定位。然后，利用基于形变模型算法与径向基函数插值相结合，实现人脸三维重建，并将该算法应用到人脸识别中。实现表明，此算法可快速实现特定正面二维人脸的三维重建，并具有较高重建精度和识别率。
침대전통삼유인검중건산법정도저차난이만족실제응용적결함，제출일충기우특정분괴적쾌속삼유인검중건산법。해산법수선이용기우평면모판적중채양법실현삼유수거규범화；기차，근거인검특정대인검분괴，근거주동형상모형산법진행면부특정정위。연후，이용기우형변모형산법여경향기함수삽치상결합，실현인검삼유중건，병장해산법응용도인검식별중。실현표명，차산법가쾌속실현특정정면이유인검적삼유중건，병구유교고중건정도화식별솔。
The traditional algorithm of 3D face reconstruction is inefficient and it is difficult to meet the requirements of practical application. To address this problem,a fast feature-division-based 3D face reconstruction algorithm is proposed. First,a 2D template-based alignment algorithm is developed to process the correspondence between faces automatically. Second,Each face is divided based on feature division,and an improved ASM algorithm is proposed to locate the feature points in the 3D and 2D face images. Then,every facial feature slices shape is reconstructed by a PCA-based sparse morphable mode and and then uses radial basis function to remedy the 3D data. Finally,the algorithm is applied to 3D face recognition. Experimental results show that the presented algorithm obtains faster speed to reconstruction 3D face from the 2D frontal face,keeping a quite high accuracy results and having a high recognition rate.