Fourier Vision: Segmentation and Velocity Measurement using the Fourier Transform
Fourier Vision provides a new treatment of figure-ground segmentation in scenes comprising transparent, translucent, or opaque objects. Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2001
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
623 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Fourier Vision provides a new treatment of figure-ground segmentation in scenes comprising transparent, translucent, or opaque objects. Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the spatial or spectral content of the images, with segmentation being carried out phasor by phasor in the Fourier domain. It works with several camera configurations, such as camera motion and short-baseline binocular stereo, and performs best on images with small velocities/displacements, typically one to ten pixels per frame. The book also addresses the use of Fourier techniques to estimate stereo disparity and optical flow. Numerous examples are provided throughout. Fourier Vision will be of value to researchers in image processing & computer vision and, especially, to those who have to deal with superimposed transparent or translucent objects. Researchers in application areas such as medical imaging and acoustic signal processing will also find this of interest |
| Beschreibung: | 1 Online-Ressource (X, 195 p) |
| ISBN: | 9781461514138 |
| DOI: | 10.1007/978-1-4615-1413-8 |
Internformat
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Datensatz im Suchindex
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| dewey-full | 006.37 006.6 |
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| dewey-search | 006.37 006.6 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-1413-8 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781461514138 |
| language | English |
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| spelling | Vernon, David Verfasser aut Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform by David Vernon Boston, MA Springer US 2001 1 Online-Ressource (X, 195 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 623 Fourier Vision provides a new treatment of figure-ground segmentation in scenes comprising transparent, translucent, or opaque objects. Exploiting the relative motion between figure and ground, this technique deals explicitly with the separation of additive signals and makes no assumptions about the spatial or spectral content of the images, with segmentation being carried out phasor by phasor in the Fourier domain. It works with several camera configurations, such as camera motion and short-baseline binocular stereo, and performs best on images with small velocities/displacements, typically one to ten pixels per frame. The book also addresses the use of Fourier techniques to estimate stereo disparity and optical flow. Numerous examples are provided throughout. Fourier Vision will be of value to researchers in image processing & computer vision and, especially, to those who have to deal with superimposed transparent or translucent objects. Researchers in application areas such as medical imaging and acoustic signal processing will also find this of interest Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Imaging / Radiology Signal, Image and Speech Processing Electrical Engineering Computer science Radiology Computer graphics Image processing Electrical engineering Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Fourier-Transformation (DE-588)4018014-1 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s Fourier-Transformation (DE-588)4018014-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781461355410 https://doi.org/10.1007/978-1-4615-1413-8 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Vernon, David Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Imaging / Radiology Signal, Image and Speech Processing Electrical Engineering Computer science Radiology Computer graphics Image processing Electrical engineering Maschinelles Sehen (DE-588)4129594-8 gnd Fourier-Transformation (DE-588)4018014-1 gnd |
| subject_GND | (DE-588)4129594-8 (DE-588)4018014-1 |
| title | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform |
| title_auth | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform |
| title_exact_search | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform |
| title_full | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform by David Vernon |
| title_fullStr | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform by David Vernon |
| title_full_unstemmed | Fourier Vision Segmentation and Velocity Measurement using the Fourier Transform by David Vernon |
| title_short | Fourier Vision |
| title_sort | fourier vision segmentation and velocity measurement using the fourier transform |
| title_sub | Segmentation and Velocity Measurement using the Fourier Transform |
| topic | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Imaging / Radiology Signal, Image and Speech Processing Electrical Engineering Computer science Radiology Computer graphics Image processing Electrical engineering Maschinelles Sehen (DE-588)4129594-8 gnd Fourier-Transformation (DE-588)4018014-1 gnd |
| topic_facet | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Imaging / Radiology Signal, Image and Speech Processing Electrical Engineering Computer science Radiology Computer graphics Image processing Electrical engineering Maschinelles Sehen Fourier-Transformation |
| url | https://doi.org/10.1007/978-1-4615-1413-8 |
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