Interpolation-based nonrigid deformation estimation under manifold regularization constraint
作者：
Highlights：
• We proposed two different deformation methods within an unified framework.
• Manifold regularization is leveraged to preserve more details in the source image.
• The sparse approximation enables our methods to yield a fast computation.
• The framework can cope with non-rigid case well, natural and smoothness.
• Our methods also can be applied to 3D surface deformation and medical image registration.
摘要
•We proposed two different deformation methods within an unified framework.•Manifold regularization is leveraged to preserve more details in the source image.•The sparse approximation enables our methods to yield a fast computation.•The framework can cope with non-rigid case well, natural and smoothness.•Our methods also can be applied to 3D surface deformation and medical image registration.
论文关键词：Nonrigid deformation,Manifold regularization,Gaussian kernel,TPS kernel,Medical image registration
论文评审过程：Received 5 September 2021, Revised 20 March 2022, Accepted 3 April 2022, Available online 5 April 2022, Version of Record 14 April 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2022.108695
