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Hierarchical Perceptual Grouping for Object Recognition - Theoretical Views and Gestalt-Law Applications (Hardcover, 1st ed. 2019) Loot Price: R2,020
Discovery Miles 20 200
You Save: R485 (19%)
Hierarchical Perceptual Grouping for Object Recognition - Theoretical Views and Gestalt-Law Applications (Hardcover, 1st ed....

Hierarchical Perceptual Grouping for Object Recognition - Theoretical Views and Gestalt-Law Applications (Hardcover, 1st ed. 2019)

Eckart Michaelsen, Jochen Meidow

Series: Advances in Computer Vision and Pattern Recognition

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List price R2,505 Loot Price R2,020 Discovery Miles 20 200 | Repayment Terms: R185 pm x 12* You Save R485 (19%)

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Advances in Computer Vision and Pattern Recognition
Release date: 2019
First published: 2019
Authors: Eckart Michaelsen • Jochen Meidow
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 195
Edition: 1st ed. 2019
ISBN-13: 978-3-03-004039-0
Categories: Books > Arts & Architecture > Architecture > General
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Science & Mathematics > Mathematics > Algebra > Groups & group theory
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
LSN: 3-03-004039-9
Barcode: 9783030040390

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