Buch, Englisch, Band 662, 152 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 254 g
Buch, Englisch, Band 662, 152 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 254 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-56484-3
Verlag: Springer Berlin Heidelberg
Computer vision seeks a process that starts with a noisy,
ambiguous signal from a TV camera and ends with a high-level
description of discrete objects located in 3-dimensional
space and identified in a human classification.
This book addresses the process at several levels. First to
be treated are the low-level image-processing issues of
noise removaland smoothing while preserving important lines
and singularities in an image. At a slightly higher level, a
robust contour tracing algorithm is described that produces
a cartoon of the important lines in the image. Thirdis the
high-level task of reconstructing the geometry of objects in
the scene.
The book has two aims: to give the computer vision community
a new approach to early visual processing, in the form of
image segmentation that incorporates occlusion at a low
level, and to introduce real computer algorithms that do a
better job than what most vision programmers use currently.
The algorithms are:
- a nonlinear filter that reduces noise and enhances edges,
- an edge detector that also finds corners and produces
smoothed contours rather than bitmaps,
- an algorithm for filling gaps in contours.
Nitzberg / Shiota / Mumford
Filtering, Segmentation and Depth jetzt bestellen!
ambiguous signal from a TV camera and ends with a high-level
description of discrete objects located in 3-dimensional
space and identified in a human classification.
This book addresses the process at several levels. First to
be treated are the low-level image-processing issues of
noise removaland smoothing while preserving important lines
and singularities in an image. At a slightly higher level, a
robust contour tracing algorithm is described that produces
a cartoon of the important lines in the image. Thirdis the
high-level task of reconstructing the geometry of objects in
the scene.
The book has two aims: to give the computer vision community
a new approach to early visual processing, in the form of
image segmentation that incorporates occlusion at a low
level, and to introduce real computer algorithms that do a
better job than what most vision programmers use currently.
The algorithms are:
- a nonlinear filter that reduces noise and enhances edges,
- an edge detector that also finds corners and produces
smoothed contours rather than bitmaps,
- an algorithm for filling gaps in contours.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
Weitere Infos & Material
Overview.- Filtering for occlusion detection.- Finding contours and junctions.- Continuations.- Finding the 2.1D sketch.- Conclusion.
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