Spectral Demons - Image Registration via Global Spectral Correspondence - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Spectral Demons - Image Registration via Global Spectral Correspondence


Image registration is a building block for many applications in computer vision and medical imaging. However the current methods are lim- ited when large and highly non-local deformations are present. In this pa- per, we introduce a new direct feature matching technique for non-parametric image registration where efficient nearest-neighbor searches find global corre- spondences between intensity, spatial and geometric information. We exploit graph spectral representations that are invariant to isometry under complex deformations. Our direct feature matching technique is used within the estab- lished Demons framework for diffeomorphic image registration. Our method, called Spectral Demons , can capture very large, complex and highly non-local deformations between images. We evaluate the improvements of our method on 2D and 3D images and demonstrate substantial improvement over the con- ventional Demons algorithm for large deformations
No file

Dates and versions

hal-00813833 , version 1 (16-04-2013)



Hervé Lombaert, Leo Grady, Xavier Pennec, Nicholas Ayache, Farida Cheriet. Spectral Demons - Image Registration via Global Spectral Correspondence. Computer Vision - ECCV 2012, 2012, Florence, Italy. pp.30-44, ⟨10.1007/978-3-642-33709-3_3⟩. ⟨hal-00813833⟩
121 View
0 Download



Gmail Facebook Twitter LinkedIn More