Summary
Zusammenfassung Machine Vision
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Machine Vision (Machine Vision)
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nerunayugarajah
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Single_multiview- nur bis vor "Rektifizierung aus Linien", Folie 24) lernen, also NICHT Rektifizierung aus
Linien, Relative und Absolute Abstände
3D Rekonstruktion aus Bilddaten
Zwei Bilder, feste baseline
Binokulares Stereo
Mehrere Bilder / Videosequenz
Multi-View Geometry
Einzelbilder
Vorwissen über 3D Struktur
Objektklasse (Gesichter)
Parallele Linien (Architektur)
Multiview-Geometrie
Architekturmodelle aus Bildern
Mehrere Ansichten des Gebäudes erforderlich
Einige Messungen in der Szene
Kamera muss kalibriert sein
Texturierte Geometrie
Am Ende eine Box mit Textur
3D Rekonstruktion von Gesichtern
statistisches Modell, wie menschliche Gesichter aussehen Anpassung des Modells an
das Eingabebild, um die plausibelste 3D-Kontraktion zu erhalten
Geometrie aus Einzelbildern
Von einem Gemälde die Gebäude 3D konstruieren
Architekturmodelle aus Bildern
Nutze:
Parallelität
Fluchtpunkte
Orthogonalität
Rekonstruktion von Winkeln und Längenverhältnissen
Keine absolute Skalierung
1.Rektifiziere die Ebenen
Liefert Texturen
2.Berechne relative Abstände der Ebenen
Tiefenstaffelung
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