In this work we propose a novel variational method that we intend to use for estimating non-rigid texture deformation. The method is able to capture variation in grayscale images with respect to the geometry of its features. Our experimental evaluations demonstrate that accounting for geometry of features in texture images leads to significant improvements in localization of these features, when textures undergo geometrical transformations. Accurate localization of features in the presense of unkown deformations is a crucial property for texture characterization methods, and we intend to expoit this property for estimation of non-rigid deformations in our future work.
|Title of host publication||Proceedings of 20th International Conference of Pattern Recognition 2010|
|Publication status||Published - 2010|
|Event||20th International Conference on Pattern Recognition, Istanbul, Turkey - |
Duration: 1 Jan 2010 → …
|Conference||20th International Conference on Pattern Recognition, Istanbul, Turkey|
|Period||01/01/2010 → …|