The Isowarp: The Template-Based Visual Geometry of Isometric Surfaces
Registration maps or warps form a key element in Shape-from-Template (SfT). They relate the template with the input image, which contains the projection of the deformed surface. Recently, it was shown that isometric SfT can be solved analytically if the warp and its first-order derivatives are known...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | inglés |
| OAI Identifier: | oai:ebuah.uah.es:10017/64085 |
| Acceso en línea: | http://hdl.handle.net/10017/64085 https://dx.doi.org/10.1007/s11263-021-01472-w |
| Access Level: | acceso abierto |
| Palabra clave: | Image warp SfT Template-based Non-rigid reconstruction Electrónica Electronics |
| Sumario: | Registration maps or warps form a key element in Shape-from-Template (SfT). They relate the template with the input image, which contains the projection of the deformed surface. Recently, it was shown that isometric SfT can be solved analytically if the warp and its first-order derivatives are known. In practice, the warp is recovered by interpolating a set of discrete template-to-image point correspondences. This process relies on smoothness priors but ignores the 3D geometry. This may produce errors in the warp and poor reconstructions. In contrast, we propose to create a 3D consistent warp, which technically is a very challenging task, as the 3D shape variables must be eliminated from the isometric SfT equations to find differential constraints for the warp only. Integrating these constraints in warp estimation yields the isowarp, a warp 3D consistent with isometric SfT. Experimental results show that incorporating the isowarp in the SfT pipeline allows the analytic solution to outperform non-convex 3D shape refinement methods and the recent DNN-based SfT methods. The isowarp can be properly initialized with convex methods and its hyperparameters can be automatically obtained with cross-validation. The isowarp is resistant to 3D ambiguities and less computationally expensive than existing 3D shape refinement methods. The isowarp is thus a theoretical and practical breakthrough in SfT. |
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