Biological and computer vision: biological and computer vision
Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The succe...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBG01 UBW01 Volltext |
| Zusammenfassung: | Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 08 Feb 2021) |
| Beschreibung: | 1 Online-Ressource (xxii, 251 Seiten) |
| ISBN: | 9781108649995 |
| DOI: | 10.1017/9781108649995 |
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| 520 | |a Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems | ||
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1017/9781108649995 |
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| id | DE-604.BV047238434 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:03:24Z |
| indexdate | 2024-07-10T09:06:32Z |
| institution | BVB |
| isbn | 9781108649995 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032642759 |
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| physical | 1 Online-Ressource (xxii, 251 Seiten) |
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| publishDate | 2021 |
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| publisher | Cambridge University Press |
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| spelling | Kreiman, Gabriel 1971- (DE-588)1018050930 aut Biological and computer vision biological and computer vision Gabriel Kreiman, Harvard University Cambridge Cambridge University Press 2021 1 Online-Ressource (xxii, 251 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 08 Feb 2021) Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems Computer vision Vision Erscheint auch als Druck-Ausgabe 978-1-108-48343-8 https://doi.org/10.1017/9781108649995 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kreiman, Gabriel 1971- Biological and computer vision biological and computer vision Computer vision Vision |
| title | Biological and computer vision biological and computer vision |
| title_auth | Biological and computer vision biological and computer vision |
| title_exact_search | Biological and computer vision biological and computer vision |
| title_exact_search_txtP | Biological and computer vision biological and computer vision |
| title_full | Biological and computer vision biological and computer vision Gabriel Kreiman, Harvard University |
| title_fullStr | Biological and computer vision biological and computer vision Gabriel Kreiman, Harvard University |
| title_full_unstemmed | Biological and computer vision biological and computer vision Gabriel Kreiman, Harvard University |
| title_short | Biological and computer vision |
| title_sort | biological and computer vision biological and computer vision |
| title_sub | biological and computer vision |
| topic | Computer vision Vision |
| topic_facet | Computer vision Vision |
| url | https://doi.org/10.1017/9781108649995 |
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