%0 
%0 Journal Article
%A Brunet, Florent; Gay-Bellile, Vincent; Bartoli, Adrien; Navab, Nassir & Malgouyres, Rémy
%D 2011
%T Feature-Driven Direct Non-Rigid Image Registration
%E 
%B International Journal of Computer Vision
%C 
%I Springer
%V 93
%6
%N 
%P 33-52
%& 
%Y 
%S 
%7
%8 
%9
%? 
%! 
%Z 
%@ 0920-5691
%(
%)
%*
%L
%M


%2 
%3 article
%4 
%# 
%$ 
%F brunet2011ijcv
%K 
%X The direct registration problem for images of a deforming surface has been well studied. Parametric flexible warps based, for instance, on the Free-Form Deformation or a Radial Basis Function such as the Thin-Plate Spline, are often estimated using additive Gauss-Newton-like algorithms. The recently proposed compositional framework has been shown to be more efficient, but cannot be directly applied to such non-groupwise warps. 

Our main contribution in this paper is the Feature-Driven framework. It makes possible the use of compositional algorithms for most parametric warps such as those above mentioned. Two algorithms are proposed to demonstrate the relevance of our Feature-Driven framework: the Feature-Driven Inverse Compositional and the Feature-Driven Learning-based algorithms. As another contribution, a detailed derivation of the Feature-Driven warp parameterization is given for the Thin-Plate Spline and the Free-Form Deformation. We experimentally show that these two types of warps have a similar representational power. Experimental results show that our Feature-Driven registration algorithms are more efficient in terms of computational cost, without loss of accuracy, compared to existing methods.
%Z 
%U http://www.brnt.eu/publications/brunet2011ijcv.pdf

%+
%^