High-Order Models in Semantic Image Segmentation - Ismail Ben Ayed
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Toimitus 31-37 arkipäivässä
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High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation tec ... Täydellinen kuvaus
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Kuvaus
High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging.
Lisätietoja
| Kirjoittaja | Ismail Ben Ayed |
|---|---|
| Julkaisija | Elsevier Science |
| Julkaisuvuosi | 2023 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9780128053201 |