摘要
在脸部残缺修补建模过程中,匹配图像无明显匹配关键特征,形成匹配错误,造成建立的三维人脸模型特征偏移。为了避免上述缺陷,提出了一种融入错误图像识别模型的脸部残缺修补三维建模方法。建立错误图像识别模型,从大量的脸部图像中识别出错误图像,从而为脸部缺损修补三维建模提供依据。根据采集的大量脸部图像,利用多目标三维重建技术,建立脸部缺损修补三维模型。实验结果表明,利用该算法进行脸部缺损修补三维建模,可以极大的提高建立脸部模型的真实度,降低了建模过程中的误差,取得了令人满意的效果。
In the process of repair facial deformity modeling, image has no obvious match key characteristics, formation of matching error, established 3D face model character offset. In order to avoid these defects, this paper proposes a inte-grated error image recognition model of facial deformity repair three-dimensional modeling method. Error image recogni-tion model is established, from a lot of face image to identify the error image, so as to provide the basis for facial defect repair 3D modeling. According to the collection of a large number of face images, using 3D reconstruction technology, three-dimensional model based facial defect repair. The experimental results show that the algorithm presented in this paper for facial defect repair 3D modeling, can greatly increase the truth in the face model is set up, reduce the error in the process of modeling, satisfactory results have been achieved.
出处
《科技通报》
北大核心
2014年第2期28-30,共3页
Bulletin of Science and Technology
基金
四川省教育厅科研项目(13ZA0135)
关键词
图像识别
脸部缺损修补
三维建模
image recognition
facial defect repair
3D modeling