Measurement of Image Velocity:
Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasize...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1992
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors
169 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception |
| Beschreibung: | 1 Online-Ressource (XIII, 203 p) |
| ISBN: | 9781461536482 |
| DOI: | 10.1007/978-1-4615-3648-2 |
Internformat
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| 520 | |a Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception | ||
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Datensatz im Suchindex
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| author | Fleet, David J. |
| author_facet | Fleet, David J. |
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| bvnumber | BV045186473 |
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| ctrlnum | (ZDB-2-ENG)978-1-4615-3648-2 (OCoLC)1184324095 (DE-599)BVBBV045186473 |
| dewey-full | 006.6 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-3648-2 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T08:10:57Z |
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| series2 | The Springer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors |
| spelling | Fleet, David J. Verfasser aut Measurement of Image Velocity by David J. Fleet Boston, MA Springer US 1992 1 Online-Ressource (XIII, 203 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors 169 Measurement of Image Velocity presents a computational framework for computing motion information from sequences of images. Its specific goal is the measurement of image velocity (or optical flow), the projection of 3-D object motion onto the 2-D image plane. The formulation of the problem emphasizes the geometric and photometric properties of image formation, and the occurrence of multiple image velocities caused, for example, by specular reflections, shadows, or transparency. The method proposed for measuring image velocity is based on the phase behavior in the output of velocity-tuned filters. Extensive experimental work is used to show that phase can be a reliable source of pure image translation, small geometric deformation, smooth contrast variations, and multiple local velocities. Extensive theorectical analysis is used to explain the robustness of phase with respect to deviations from image translation, and to detect situations in which phase becomes unstable. The results indicate that optical flow may be extracted reliably for computing egomotion and structure from motion. The monograph also contains a review of other techniques and frequency analysis applied to image sequences, and it discusses the closely related topics of zero-crossing tracking, gradient-based methods, and the measurement of binocular disparity. The work is relevant to those studying machine vision and visual perception Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computer science Artificial intelligence Computer graphics Control engineering Robotics Mechatronics Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Geschwindigkeitsmessung (DE-588)4134992-1 gnd rswk-swf Bewegung (DE-588)4006311-2 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Bildverarbeitung (DE-588)4006684-8 s Bewegung (DE-588)4006311-2 s Geschwindigkeitsmessung (DE-588)4134992-1 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9781461366232 https://doi.org/10.1007/978-1-4615-3648-2 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fleet, David J. Measurement of Image Velocity Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computer science Artificial intelligence Computer graphics Control engineering Robotics Mechatronics Bildverarbeitung (DE-588)4006684-8 gnd Geschwindigkeitsmessung (DE-588)4134992-1 gnd Bewegung (DE-588)4006311-2 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4134992-1 (DE-588)4006311-2 (DE-588)4113937-9 |
| title | Measurement of Image Velocity |
| title_auth | Measurement of Image Velocity |
| title_exact_search | Measurement of Image Velocity |
| title_full | Measurement of Image Velocity by David J. Fleet |
| title_fullStr | Measurement of Image Velocity by David J. Fleet |
| title_full_unstemmed | Measurement of Image Velocity by David J. Fleet |
| title_short | Measurement of Image Velocity |
| title_sort | measurement of image velocity |
| topic | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computer science Artificial intelligence Computer graphics Control engineering Robotics Mechatronics Bildverarbeitung (DE-588)4006684-8 gnd Geschwindigkeitsmessung (DE-588)4134992-1 gnd Bewegung (DE-588)4006311-2 gnd |
| topic_facet | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Computer science Artificial intelligence Computer graphics Control engineering Robotics Mechatronics Bildverarbeitung Geschwindigkeitsmessung Bewegung Hochschulschrift |
| url | https://doi.org/10.1007/978-1-4615-3648-2 |
| work_keys_str_mv | AT fleetdavidj measurementofimagevelocity |