%0 Journal Article %1 Vania_V._Estrela_37614024 %A Estrela, Vania V. %A Estrela, Vania Vieira %A Coelho, Alessandra Martins %D 2012 %J International Journal of Image Processing (IJIP) %K computer_vision cross_validation error_concealment generalized_cross_validation image_analysis image_processing imported motion_estimation myown optical_flow pel-recursive regularization video %T Data-Driven Motion Estimation With Spatial Adaptation %X Besides being an ill-posed problem, the pel-recursive computation of 2-D optical flow raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. Our proposed approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Generalized Cross Validation (GCV) to estimate the best regularization scheme for a given moving pixel. In our model, a regularization matrix carries information about different sources of error in its entries and motion vector estimation takes into consideration local image properties following a spatially adaptive. Preliminary experiments indicate that this approach provides robust estimates of the optical flow.

@article{Vania_V._Estrela_37614024, abstract = {Besides being an ill-posed problem, the pel-recursive computation of 2-D optical flow raises a wealth of issues, such as the treatment of outliers, motion discontinuities and occlusion. Our proposed approach deals with these issues within a common framework. It relies on the use of a data-driven technique called Generalized Cross Validation (GCV) to estimate the best regularization scheme for a given moving pixel. In our model, a regularization matrix carries information about different sources of error in its entries and motion vector estimation takes into consideration local image properties following a spatially adaptive. Preliminary experiments indicate that this approach provides robust estimates of the optical flow.}, added-at = {2021-04-21T11:45:34.000+0200}, author = {Estrela, Vania V. and Estrela, Vania Vieira and Coelho, Alessandra Martins}, biburl = {https://www.bibsonomy.org/bibtex/292e69327a302338f21b62eee1c735f90/vaniave}, interhash = {cd4052f8f02460ed9b4438d243fd3394}, intrahash = {92e69327a302338f21b62eee1c735f90}, issn = {1985-2304}, journal = { International Journal of Image Processing (IJIP)}, keywords = {computer_vision cross_validation error_concealment generalized_cross_validation image_analysis image_processing imported motion_estimation myown optical_flow pel-recursive regularization video}, language = {English}, timestamp = {2021-05-16T21:09:37.000+0200}, title = {Data-Driven Motion Estimation With Spatial Adaptation}, year = 2012 }