| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000381265 |
| ISSN: | 1405-5546 |
| Autores: | Khachaturov, Georgii1 González Brambila, Silvia Beatriz1 González Trejo, Jesús Isidro1 |
| Instituciones: | 1Universidad Autónoma Metropolitana, Departamento de Sistemas, Azcapotzalco, Distrito Federal. México |
| Año: | 2014 |
| Periodo: | Oct-Dic |
| Volumen: | 18 |
| Número: | 4 |
| Paginación: | 741-754 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | The standard Brightness Constancy Equation 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 real 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 applies 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 accuracy of estimates insignificantly. For a possible application to tomography, this would lead to an unprecedented diminution of harmful radiation exposure |
| Disciplinas: | Ciencias de la computación, Ingeniería |
| Palabras clave: | Ingeniería electrónica, Flujo óptico, Procesamiento basado en periodicidad, Tomografía preventiva, Visión nocturna |
| Keyword: | Computer science, Engineering, Electronic engineering, Optical flow, Periodicity-based processing, Preventive tomography, Night vision |
| Texte intégral: | Texto completo (Ver HTML) |
