Thin structure estimation with curvature regularization
| Autor: | Dmitrii Marin, Yuchen Zhong, Maria Drangova, Yuri Boykov |
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| Rok vydání: | 2015 |
| Předmět: |
FOS: Computer and information sciences
Quadratic equation Computer science Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Medicine and Health Sciences Curvature Regularization (mathematics) Algorithm |
| Zdroj: | Bone and Joint Institute Medical Biophysics Publications |
| Popis: | Many applications in vision require estimation of thin structures such as boundary edges, surfaces, roads, blood vessels, neurons, etc. Unlike most previous approaches, we simultaneously detect and delineate thin structures with sub-pixel localization and real-valued orientation estimation. This is an ill-posed problem that requires regularization. We propose an objective function combining detection likelihoods with a prior minimizing curvature of the center-lines or surfaces. Unlike simple block-coordinate descent, we develop a novel algorithm that is able to perform joint optimization of location and detection variables more effectively. Our lower bound optimization algorithm applies to quadratic or absolute curvature. The proposed early vision framework is sufficiently general and it can be used in many higher-level applications. We illustrate the advantage of our approach on a range of 2D and 3D examples. D. Marin, Y. Zhong, M. Drangova, Y. Boykov. Thin Structure Estimation with Curvature Regularization. International Conference on Computer Vision (ICCV), Santiago, Chili, December 2015, to appear |
| Databáze: | OpenAIRE |
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