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265583576
Graph-Based Methods in Computer Vision: Developments and Applications, (Hardcover)
Item #:
265583576
€ 217
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Graph-Based Methods in Computer Vision presents a sampling of the research issues related to applying graph-based methods in computer vision.
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Product Details
- Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | July, 2012 |
| Pages | 396 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | IGI Global |
| Original languages | English |
| Language | English |
| Educational level | Higher |
| Is collectible | N |
| Editor | Xiao Bai; Jian Cheng; Edwin Hancock |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.50 x 0.88 x 11.00 in (21.6 x 2.2 x 27.9 cm) |
| Assembled product weight | 2.64 lb (1.2 kg) |
| Bisac subject heading | Computers |
Product Description
Graph-Based Methods in Computer Vision: Developments and Applications, (Hardcover)
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€ 217
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Features & Benefits
- Explore under-utilized graph-based methods in computer vision.
- Learn how these methods effectively represent image models.
- Gain insights on the current and future applications of computer vision technology.
- Understand the developments in the rapidly evolving field since the 1970s.
- Includes 396 pages of cutting-edge research and applications.
- Perfect for academics and professionals seeking advanced knowledge.
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