Identifying semi-Invariant Features on Mouse Contours

N.P. Tiilikainen, A.E. Bartoli, S. Olsen
2008 Procedings of the British Machine Vision Conference 2008  
Retexturing videos of deformable surfaces is an important problem in computer vision as it has a wide variety of applications. A key step in producing visually pleasing retexturing results is registration. Traditional registration methods require a certain amount of texture on the surface in order to capture all the deformation details. However, in cases such as cartoon videos, there is a high number of smooth contours and only little or spurious texture. We propose a novel method for
more » ... g and retexturing cartoon-like videos by means of joint contour detection and point to point curve matching. The main idea is to fit a parametric 3D active surface model in the spatiotemporal space, utilizing a regularization term which limits the change in curvature over time. We show that with cross-validation it is possible to automatically estimate a suitable value for the regularization parameter, controlling the tradeoff between the regularization and the data term. We report convincing registration and retexturing results on cartoon videos.
doi:10.5244/c.22.91 dblp:conf/bmvc/TiilikainenBO08 fatcat:jo3nc7wu4ndgla3xtru2f2yzry