Multiple Landmark Warping Using Thin-Plate Splines
Mark Whitbeck, Hongyu Guo · 2006
Image warping plays an extremely important role in face matching and recognition and there-fore has wide applications and great significance in computer vision, biomedical imaging and homeland security. One popular warping algorithm developed by Alex Rosen, known as Alex-Warp has the drawback that it only allows one pair of landmarks being specified at one time. The consequence of this is that the destination landmarks are displaced in the subsequent warp-ing. We develop an image warping algorithm using thin-plate splines that allows multi-landmarks being specified and warped simultaneously. The space transformation is the solution of minimizing a thin-plate deformation energy. QR decomposition techniques are used to stabi-lize the solution. We apply the new warping algorithm to various face matching situations.