Vision Chips:
This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2000
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing
526 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of such sensors. 1. 1 A General Overview Machine vision is one of the main branches of artificial intelligence. The richness of information present in images makes them the first choice as an input to an artificial system which tries to interact with its environment. A large proportion of the brain of many advanced species is dedicated to visual information processing, which illustrates the importance of visual information in biological systems. Biological visual systems have evolved over millions of years, and each specie has developed a specialized visual system tailored for the essential tasks of survival, such as catching a prey, or escaping a predator. Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems. Traditionally, computer vision algorithms are performed on images captured by conventional cameras, and processing is accomplished by means of general purpose digital computers. More advanced systems utilize dedicated hardware to speed up the processing stage |
| Beschreibung: | 1 Online-Ressource (XVII, 300 p) |
| ISBN: | 9781461552673 |
| DOI: | 10.1007/978-1-4615-5267-3 |
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| 520 | |a This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of such sensors. 1. 1 A General Overview Machine vision is one of the main branches of artificial intelligence. The richness of information present in images makes them the first choice as an input to an artificial system which tries to interact with its environment. A large proportion of the brain of many advanced species is dedicated to visual information processing, which illustrates the importance of visual information in biological systems. Biological visual systems have evolved over millions of years, and each specie has developed a specialized visual system tailored for the essential tasks of survival, such as catching a prey, or escaping a predator. Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems. Traditionally, computer vision algorithms are performed on images captured by conventional cameras, and processing is accomplished by means of general purpose digital computers. More advanced systems utilize dedicated hardware to speed up the processing stage | ||
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-5267-3 |
| format | Electronic eBook |
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| id | DE-604.BV045148992 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781461552673 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538691 |
| oclc_num | 1050944741 |
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| publishDate | 2000 |
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| publisher | Springer US |
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| series2 | The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing |
| spelling | Moini, Alireza Verfasser aut Vision Chips by Alireza Moini Boston, MA Springer US 2000 1 Online-Ressource (XVII, 300 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing 526 This chapter presents a set of introductory material, which in addition to providing a general view on the topic, highlights the importance of research in this area. It also presents a short history of the design of smart vision sensors, and points out some of the fundamental issues in the design of such sensors. 1. 1 A General Overview Machine vision is one of the main branches of artificial intelligence. The richness of information present in images makes them the first choice as an input to an artificial system which tries to interact with its environment. A large proportion of the brain of many advanced species is dedicated to visual information processing, which illustrates the importance of visual information in biological systems. Biological visual systems have evolved over millions of years, and each specie has developed a specialized visual system tailored for the essential tasks of survival, such as catching a prey, or escaping a predator. Implementing electronic hardware for image processing, therefore, may benefit from the underlying fundamental aspects of biological vision, though in no respect should this be regarded as a solid framework for electronic vision systems. Traditionally, computer vision algorithms are performed on images captured by conventional cameras, and processing is accomplished by means of general purpose digital computers. More advanced systems utilize dedicated hardware to speed up the processing stage Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Electrical Engineering Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Computer graphics Electrical engineering Erscheint auch als Druck-Ausgabe 9781461374022 https://doi.org/10.1007/978-1-4615-5267-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Moini, Alireza Vision Chips Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Electrical Engineering Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Computer graphics Electrical engineering |
| title | Vision Chips |
| title_auth | Vision Chips |
| title_exact_search | Vision Chips |
| title_full | Vision Chips by Alireza Moini |
| title_fullStr | Vision Chips by Alireza Moini |
| title_full_unstemmed | Vision Chips by Alireza Moini |
| title_short | Vision Chips |
| title_sort | vision chips |
| topic | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Electrical Engineering Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Computer graphics Electrical engineering |
| topic_facet | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Electrical Engineering Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Computer graphics Electrical engineering |
| url | https://doi.org/10.1007/978-1-4615-5267-3 |
| work_keys_str_mv | AT moinialireza visionchips |