Theory and practice of hierarchical data-driven descent for optimal deformation estimation

DOI10.1007/s11263-015-0838-5zbMath1398.68644OpenAlexW1255345102MaRDI QIDQ1799997

Srinivasa G. Narasimhan, Yuandong Tian

Publication date: 19 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-015-0838-5

zbMATH Keywords

nonlinear optimizationnonconvex optimizationhigh-dimensional regressionglobally optimal solutionsdata-driven approachimage deformationdeformation modelingnon-rigid deformation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Uses Software

• SIFT
• ImageNet
• AlexNet
• PatchMatch

Cites Work

• Lucas-Kanade 20 years on: a unifying framework
• Globally optimal estimation of nonrigid image distortion
• Principal warps: thin-plate splines and the decomposition of deformations