تقرير
Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation
| العنوان: | Regularized Pel-Recursive Motion Estimation Using Generalized Cross-Validation and Spatial Adaptation |
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| المؤلفون: | Estrela, Vania V., Rivera, Luis A., Beggio, Paulo C., Lopes, Ricardo T. |
| سنة النشر: | 2016 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | The computation of 2-D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called Generalized Cross-Validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. The estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow. Comment: 8 pages, 6 figures in Proceedings of the XVI Brazilian Symposium on Computer Graphics and Image Processing, 2003. SIBGRAPI 2003. IEEE. arXiv admin note: text overlap with arXiv:1403.7365, arXiv:1611.00960 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/SIBGRA.2003.1241027 |
| URL الوصول: | http://arxiv.org/abs/1611.01298 |
| رقم الأكسشن: | edsarx.1611.01298 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/SIBGRA.2003.1241027 |
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