Efficient Visual Recognition Using the Hausdorff Distance

1996
ISBN: 978-3-540-61993-2
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 1173, 186 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 312 g

Reihe: Lecture Notes in Computer Science

This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications.
A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.

Zielgruppe

Research

Autoren/Hrsg.

Rucklidge, William

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

The Hausdorff distance.- Exact computation.- Rasterisation.- Efficient computation.- Implementations and examples.- Applications.- Conclusions.