Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images

Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images

This paper proposes a locally adaptive kernel regression with adaptive-scale kernels for deformable image registration with outliers (i.e., missing correspondences and large local deformations). The adaptive kernel regression locally constructs dense deformation fields from the weighted contribution...

Full description

Bibliographic Details
Main Authors: Binjie Qin, Zhuangming Shen, Zeshan Fu, Zien Zhou, Yisong Lv, Jinsong Bao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deformable registration
structure scale
mismatch scale
joint saliency map
outliers
spatially adaptive nonparametric regression
Online Access:https://ieeexplore.ieee.org/document/8067461/

Internet

https://ieeexplore.ieee.org/document/8067461/

Similar Items