摘要
提出一种在双目立体视觉测量中三维人脸数据的自拼合方法。该方法利用从不同视角下摄取的人脸图像,分别对这些图像进行特征点提取,并建立图像间同名特征点对的稳定匹配,从而获取人脸上相同位置在不同视角下的对应关系,然后利用五点算法求取不同视角下测量系统的相对位置和姿态,最终实现对多视角下三维人脸测量数据的自动拼合。提出的方法无需借助辅助标记点或者手动选择特征点,实验结果验证了该方法的有效性和鲁棒性。
An automatic registration algorithm of facial data in binocular stereo measurement is proposed.Firstly,the point features are extracted from the facial images in different views,and then the corresponding point matches are steadily established between the images.Secondly,the five-point algorithm is employed to compute the relative pose between the two views to realize the auto-registration of 3D facial data.It is unnecessary to use markers for assistance or select the features by hand.Experiments demonstrate the validity and robustness of the proposed algorithm.
出处
《机械科学与技术》
CSCD
北大核心
2012年第6期999-1004,共6页
Mechanical Science and Technology for Aerospace Engineering
基金
江苏省科技支撑计划项目(BK2008136)资助
关键词
双目立体测量
五点算法
自动拼合
binocular stereo measurement
the five-point algorithm
automatic registration
