Application of chaos and fractals to computer vision:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sharjah, U.A.E.
Bentham Science Publishers
[2014]
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| Subjects: | |
| Item Description: | Title from PDF title page (viewed Aug. 11, 2014) |
| Physical Description: | 1 online resource |
| ISBN: | 9781608059003 1608059006 |
Staff View
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| 245 | 1 | 0 | |a Application of chaos and fractals to computer vision |c authored by Michael E. Farmer, University of Michigan-Flint |
| 264 | 1 | |a Sharjah, U.A.E. |b Bentham Science Publishers |c [2014] | |
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| 500 | |a Title from PDF title page (viewed Aug. 11, 2014) | ||
| 505 | 8 | |a This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm | |
| 650 | 7 | |a COMPUTERS / General |2 bisacsh | |
| 650 | 7 | |a Chaotic behavior in systems |2 fast | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Fractal analysis |2 fast | |
| 650 | 4 | |a Computer vision |a Chaotic behavior in systems |a Fractal analysis | |
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| any_adam_object | |
| author | Farmer, Michael E. |
| author_facet | Farmer, Michael E. |
| author_role | aut |
| author_sort | Farmer, Michael E. |
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| bvnumber | BV045350826 |
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| contents | This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm |
| ctrlnum | (ZDB-4-ITC)ocn886372603 (OCoLC)886372603 (DE-599)BVBBV045350826 |
| dewey-full | 006.37 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.37 |
| dewey-search | 006.37 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045350826 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:42Z |
| institution | BVB |
| isbn | 9781608059003 1608059006 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737479 |
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| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Bentham Science Publishers |
| record_format | marc |
| spelling | Farmer, Michael E. Verfasser aut Application of chaos and fractals to computer vision authored by Michael E. Farmer, University of Michigan-Flint Sharjah, U.A.E. Bentham Science Publishers [2014] 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Title from PDF title page (viewed Aug. 11, 2014) This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm COMPUTERS / General bisacsh Chaotic behavior in systems fast Computer vision fast Fractal analysis fast Computer vision Chaotic behavior in systems Fractal analysis |
| spellingShingle | Farmer, Michael E. Application of chaos and fractals to computer vision This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm COMPUTERS / General bisacsh Chaotic behavior in systems fast Computer vision fast Fractal analysis fast Computer vision Chaotic behavior in systems Fractal analysis |
| title | Application of chaos and fractals to computer vision |
| title_auth | Application of chaos and fractals to computer vision |
| title_exact_search | Application of chaos and fractals to computer vision |
| title_full | Application of chaos and fractals to computer vision authored by Michael E. Farmer, University of Michigan-Flint |
| title_fullStr | Application of chaos and fractals to computer vision authored by Michael E. Farmer, University of Michigan-Flint |
| title_full_unstemmed | Application of chaos and fractals to computer vision authored by Michael E. Farmer, University of Michigan-Flint |
| title_short | Application of chaos and fractals to computer vision |
| title_sort | application of chaos and fractals to computer vision |
| topic | COMPUTERS / General bisacsh Chaotic behavior in systems fast Computer vision fast Fractal analysis fast Computer vision Chaotic behavior in systems Fractal analysis |
| topic_facet | COMPUTERS / General Chaotic behavior in systems Computer vision Fractal analysis Computer vision Chaotic behavior in systems Fractal analysis |
| work_keys_str_mv | AT farmermichaele applicationofchaosandfractalstocomputervision |