Periodicity - Based Computation of Optical Flow
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2014
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| _version_ | 1876450792116846592 |
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| author | Georgii Khachaturov |
| author_facet | Georgii Khachaturov |
| contents | Periodicity - Based Computation of Optical Flow Georgii Khachaturov Silvia Beatriz González Brambila Jesús Isidro González Trejo Computación periodicity Optical flow night vision based processing preventive tomography 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| format | Artículo científico |
| id | redalyc_61532985009 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Periodicity - Based Computation of Optical Flow Georgii Khachaturov Computación periodicity Optical flow night vision based processing preventive tomography Periodicity - Based Computation of Optical Flow Georgii Khachaturov Silvia Beatriz González Brambila Jesús Isidro González Trejo Computación periodicity Optical flow night vision based processing preventive tomography 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18 |
| title | Periodicity - Based Computation of Optical Flow |
| topic | Computación periodicity Optical flow night vision based processing preventive tomography |
| url | https://www.redalyc.org/articulo.oa?id=61532985009 |