Overview
- The first and only book to describe the approach to nested hierarchical perceptual grouping
- Presents a roundup of all relevant Gestalt laws in a single source
- Discusses all theoretical views on the problem, including syntactic, probabilistic, and algebraic perspectives
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This unique text/reference presents a unified approach to the formulation of Gestalt laws for perceptual grouping, and the construction of nested hierarchies by aggregation utilizing these laws. The book also describes the extraction of such constructions from noisy images showing man-made objects and clutter. Each Gestalt operation is introduced in a separate, self-contained chapter, together with application examples and a brief literature review. These are then brought together in an algebraic closure chapter, followed by chapters that connect the method to the data – i.e., the extraction of primitives from images, cooperation with machine-readable knowledge, and cooperation with machine learning.
Topics and features: offers the first unified approach to nested hierarchical perceptual grouping; presents a review of all relevant Gestalt laws in a single source; covers reflection symmetry, frieze symmetry, rotational symmetry, parallelism and rectangular settings, contour prolongation, and lattices; describes the problem from all theoretical viewpoints, including syntactic, probabilistic, and algebraic perspectives; discusses issues important to practical application, such as primitive extraction and any-time search; provides an appendix detailing a general adjustment model with constraints.This work offers new insights and proposes novel methods to advance the field of machine vision, which will be of great benefit to students, researchers, and engineers active in this area.
Authors and Affiliations
About the authors
Dr.-Ing. Eckart Michaelsen is a researcher at the Object Recognition Department of Fraunhofer IOSB, Ettlingen, Germany.
Dr.-Ing. Jochen Meidow is a researcher at the Scene Analysis Department of the same institution.
Bibliographic Information
Book Title: Hierarchical Perceptual Grouping for Object Recognition
Book Subtitle: Theoretical Views and Gestalt-Law Applications
Authors: Eckart Michaelsen, Jochen Meidow
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-030-04040-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04039-0Published: 12 January 2019
eBook ISBN: 978-3-030-04040-6Published: 01 January 2019
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XI, 195
Number of Illustrations: 91 b/w illustrations, 9 illustrations in colour
Topics: Pattern Recognition, Remote Sensing/Photogrammetry, Architecture, general, Group Theory and Generalizations