An Optimal Control Approach for the Registration of Image Time-Series
作者单位：Department of Computer ScienceUniversity of North Carolina at Chapel Hill Biomedical Research Imaging CenterMedical SchoolUniversity of North Carolina at Chapel Hill
会议名称：《Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference》
会议日期：2009年
学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 070105[理学-运筹学与控制论] 0802[工学-机械工程] 081101[工学-控制理论与控制工程] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0701[理学-数学]
基 金：support by NSF(ECCS-0925875) and the OASIS project Open Access Series of Imaging Studies
摘 要：This paper discusses an optimal control approach for the registration of image time-series（growth modeling）.It combines and augments work on an optimal control formulation to optical flow with theory from large-displacement diffeomorphic image *** unification of the two viewpoints leads to（i） a more efficient computation of the gradient of the optimization problem,（ii） an easier numerical implementation,and（iii） an intuitive interpretation of the adjoint equation underlying the optimization ***,a novel formulation for the unbiased estimation of image correspondences across time is proposed.