Dense Image Correspondences for Computer Vision
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to…
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Produktdetails
Weitere Autoren: Liu, Ce (Hrsg.)
- ISBN: 978-3-319-35914-4
- EAN: 9783319359144
- Produktnummer: 25581102
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 308 S.
- Masse: H23.5 cm x B15.5 cm x D1.6 cm 470 g
- Auflage: Softcover reprint of the original 1st ed. 2016
- Abbildungen: Paperback
- Gewicht: 470
Über den Autor
Prof. Tal Hassner is a faculty member of the Department of Mathematics and Computer Science, The Open University of Israel, Israel. Ce Liu is a Researcher with Google.
2 weitere Werke von Tal (Hrsg.) Hassner:
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