摘要
为快速准确估计物体三维表面结构,提出基于智能手机的三维重建方法。利用SIFT特征检测方法与RANSAC算法求解单应性矩阵,使用基于单应性矩阵变换的图像配准算法将多幅视角不同的手机图像配准到同一视角,并采用总变差正则化与能量最小化联合估计方法求解通用浅浮雕参数,实现物体表面三维重构。实验结果表明,该方法能恢复物体表面细微纹理,重建精度较高。
In order to quickly and accurately estimate the 3D surface structure of objects,this paper proposes a 3D reconstruction method based on smartphone.It uses Scale Invariant Feature Transform(SIFT)feature detection method and RANSAC algorithm to solve homography matrix,realizes multiple smartphone images registration with different view angles to the same perspective,and uses the total variation regularization and Energy Minimization(EM)joint estimation method to solve Generalized Bas-relief(GBR)parameters to realize 3D reconstruction of object surface.Experimental result shows that the method can restore the fine texture of the object surface,and the reconstruction accuracy is high.
作者
陈思园
宋展
尹业安
CHEN Siyuan;SONG Zhan;YIN Yean(School of Mathematics and Computer,Wuhan Textile University,Wuhan 430200,China;Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,Guangdong 518055,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2019年第3期225-231,236,共8页
Computer Engineering
基金
国家重点研发计划(2017YFB1103602)
国家自然科学基金(61773363
U1613213
U1713213)
中科院人机智能协同系统实验室和深圳市3D内容生成技术工程实验室联合项目([2017]476)
关键词
智能手机
三维重建
图像配准
单应性
光度立体视觉
smartphone
3D reconstruction
image registration
homography
Photometric Stereo(PS)
