摘要
提出一种三维人脸鼻子区域自动定位方法。采用一种基于近似平均曲率形态学分割算子来自动分割鼻子区域轮廓,该算子对种子的初始化位置具有很好的鲁棒性,可以对鼻子区域实现快速精确的分割。在国际通用的BU-3DFE人脸表情数据库进行测试,该方法对鼻子区域的分割达到了98.5%的准确率,验证了其有效性。
A method for automatic localizing3D human face nose was proposed based on the approximate mean curvature and morphological operators.The proposed approach was robust to the initial position of the seed point,and achieved fast and accu-rate segmentation of the nose region.The experiments were conducted on the BU-3DFE dataset,and a final98.5%segmentation accuracy result was got.Experimental results show that the proposed approach can extract the nasal region accurately on the3D face.
作者
郭振铎
杨瑞敏
刘洲峰
高广帅
GUO Zhen-duo;YANG Rui-min;LIU Zhou-feng;GAO Guang-shuai(School of Electronic Inform ation, Zhongyuan U niversity of T echnology, Zhengzhou 450007,China)
出处
《计算机工程与设计》
北大核心
2017年第2期419-423,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61202499
61379113)
河南省基础与前沿技术研究计划基金项目(142300410042)
郑州市科技领军人才基金项目(131PLJRC643)