Buch, Englisch, 272 Seiten, Print PDF, Format (B × H): 157 mm x 235 mm, Gewicht: 596 g
Buch, Englisch, 272 Seiten, Print PDF, Format (B × H): 157 mm x 235 mm, Gewicht: 596 g
ISBN: 978-0-19-856512-3
Verlag: OUP Oxford
Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting, selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots.
In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of the identities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. The benefit of using projective measures is that they are unchanged by the imaging process.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
- Introduction
- 1: Object recognition
- 2: Plane algebraic projective invariants
- 3: The recognition architecture: algebraic invariants: LEWIS1
- 4: Projective invariants of smooth plane curves: LEWIS2
- 5: Segmentation and grouping
- 6: Invariants for 3D objects
- Conclusions
- References
- Index
