期刊
NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
卷 23, 期 1-2, 页码 69-89出版社
TAYLOR & FRANCIS INC
DOI: 10.1081/NFA-120004011
关键词
optical flow; calculus of variations; quasiconvex functionals; functions of bounded variation and deformation
In image sequence analysis, variational optical flow computations require the solution of a parameter dependent optimization problem with a data term and a regularizer. In this paper we study existence and uniqueness of the optimizers. Our studies rely on quasiconvex functionals on the spaces W(1,p)(Omega, R(d)), with p > 1, BV(Omega, R(d)), BD(Omega). The methods that are covered by our results include several existing techniques. Experiments are presented that illustrate the behavior of these approaches.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据