Theory and practice of hierarchical data-driven descent for optimal deformation estimation
type: Item
instance of: scholarly article
title: Theory and practice of hierarchical data-driven descent for optimal deformation estimation
zbMATH Open document ID: 1398.68644
author: Yuandong Tian
author: Srinivasa G. Narasimhan
published in: International Journal of Computer Vision
publication date: 2018-10-19T00:00:00Z
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6958879
zbMATH Keywords: deformation modeling
zbMATH Keywords: globally optimal solutions
zbMATH Keywords: non-rigid deformation
zbMATH Keywords: data-driven approach
zbMATH Keywords: nonlinear optimization
zbMATH Keywords: nonconvex optimization
zbMATH Keywords: image deformation
zbMATH Keywords: high-dimensional regression
describes a project that uses: AlexNet
describes a project that uses: PatchMatch
describes a project that uses: ImageNet
describes a project that uses: SIFT
MaRDI profile type: Publication
full work available at URL: s11263-015-0838-5
OpenAlex ID: W1255345102
cites work: Lucas-Kanade 20 years on: a unifying framework
cites work: Principal warps: thin-plate splines and the decomposition of deformations
cites work: Globally optimal estimation of nonrigid image distortion
DOI: 10.1007/S11263-015-0838-5
description: scientific article; zbMATH DE number 6958879