Local Features in Natural Images via Singularity Theory / Lecture Notes in Mathematics Bd.2165 (PDF)
(Sprache: Englisch)
This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer's eye. The goal is to detect geometric features of objects in the image...
sofort als Download lieferbar
eBook (pdf)
53.49 €
26 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Local Features in Natural Images via Singularity Theory / Lecture Notes in Mathematics Bd.2165 (PDF)“
This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer's eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the "apparent contours". We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the "stable configurations" for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions.
Bibliographische Angaben
- Autoren: James Damon , Peter Giblin , Gareth Haslinger
- 2016, 1st ed. 2016, 255 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319414712
- ISBN-13: 9783319414713
- Erscheinungsdatum: 30.09.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 13 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Local Features in Natural Images via Singularity Theory / Lecture Notes in Mathematics Bd.2165"
0 Gebrauchte Artikel zu „Local Features in Natural Images via Singularity Theory / Lecture Notes in Mathematics Bd.2165“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Local Features in Natural Images via Singularity Theory / Lecture Notes in Mathematics Bd.2165".
Kommentar verfassen