Periodicity - Based Computation of Optical Flow
The standard Brightness Constancy Equat ion states spatiotemporal shift invariance of the input data along a local velocity of optical flow. In its turn, the shift invariance leads to a periodic function of a rea l argument. This allows application of a known test for periodicity to computation of o...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | México |
| Institución: | Universidad Autónoma Metropolitana |
| Repositorio: | Redalyc-UAM |
| OAI Identifier: | oai:redalyc.org:61532985009 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=61532985009 |
| Access Level: | acceso abierto |
| Palabra clave: | Computación periodicity Optical flow night vision based processing preventive tomography |
| Sumario: | The standard Brightness Constancy Equat ion states spatiotemporal shift invariance of the input data along a local velocity of optical flow. In its turn, the shift invariance leads to a periodic function of a rea l argument. This allows application of a known test for periodicity to computation of optical flow at random locations. The approach is valid also for higher dimensions: for example, it applie s to a sequence of 3D tomography images. The proposed method has a reasonably high accuracy for continuous flow and is noise tolerant. Special attention is paid to weak signal input. It is shown that a drastic reduction in the signal strength worsens the a ccuracy of estimates insignificantly . For a possible application to tomography, this would lead to an unprecedented diminution of harmful radiation exposure. |
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