Fundamentals of computer vision:
Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough unders...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom
Cambridge University Press
2017
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UER01 Volltext |
| Zusammenfassung: | Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 24 Oct 2017) |
| Beschreibung: | 1 Online-Ressource (xiv, 377 pages) |
| ISBN: | 9781316882641 |
| DOI: | 10.1017/9781316882641 |
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| 520 | |a Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications | ||
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| author | Snyder, Wesley E. 1946- |
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| dewey-full | 621.367 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.367 |
| dewey-search | 621.367 |
| dewey-sort | 3621.367 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/9781316882641 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:00:31Z |
| institution | BVB |
| isbn | 9781316882641 |
| language | English |
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| spelling | Snyder, Wesley E. 1946- Verfasser (DE-588)1156792436 aut Fundamentals of computer vision Wesley E. Snyder, Hairong Qi Cambridge, United Kingdom Cambridge University Press 2017 1 Online-Ressource (xiv, 377 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 24 Oct 2017) Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications Image processing Digital techniques Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s 1\p DE-604 Qi, Hairong 1970- Sonstige (DE-588)1156806704 oth Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-18488-6 https://doi.org/10.1017/9781316882641 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Snyder, Wesley E. 1946- Fundamentals of computer vision Image processing Digital techniques Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4129594-8 |
| title | Fundamentals of computer vision |
| title_auth | Fundamentals of computer vision |
| title_exact_search | Fundamentals of computer vision |
| title_full | Fundamentals of computer vision Wesley E. Snyder, Hairong Qi |
| title_fullStr | Fundamentals of computer vision Wesley E. Snyder, Hairong Qi |
| title_full_unstemmed | Fundamentals of computer vision Wesley E. Snyder, Hairong Qi |
| title_short | Fundamentals of computer vision |
| title_sort | fundamentals of computer vision |
| topic | Image processing Digital techniques Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Image processing Digital techniques Maschinelles Sehen |
| url | https://doi.org/10.1017/9781316882641 |
| work_keys_str_mv | AT snyderwesleye fundamentalsofcomputervision AT qihairong fundamentalsofcomputervision |