A novel approach to the computation of an approximate estimate of spatial object pose from camera images is proposed. The method is based on a neural network that generates pose hy...
In inter-subject registration, one often lacks a good model of the transformation variability to choose the optimal regularization. Some works attempt to model the variability in a...
Xavier Pennec, Radu Stefanescu, Vincent Arsigny, P...
A general-purpose deformable registration algorithm referred
to as ”DRAMMS” is presented in this paper. DRAMMS adds to the
literature of registration methods that bridge betw...
The wide use of digital media during the past few years, has led to an increase of digital piracy and tampering. To deal with these problems, the concept of watermarking has been i...
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...