Hierarchical Perceptual Grouping for Object Recognition Theoretical Views and Gestalt-Law Applications /

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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Michaelsen, Eckart (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Meidow, Jochen (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Computer Vision and Pattern Recognition,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04408nam a2200541 4500
001 978-3-030-04040-6
003 DE-He213
005 20191026171330.0
007 cr nn 008mamaa
008 190101s2019 gw | s |||| 0|eng d
020 |a 9783030040406  |9 978-3-030-04040-6 
024 7 |a 10.1007/978-3-030-04040-6  |2 doi 
040 |d GrThAP 
050 4 |a Q337.5 
050 4 |a TK7882.P3 
072 7 |a UYQP  |2 bicssc 
072 7 |a COM016000  |2 bisacsh 
072 7 |a UYQP  |2 thema 
082 0 4 |a 006.4  |2 23 
100 1 |a Michaelsen, Eckart.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Hierarchical Perceptual Grouping for Object Recognition  |h [electronic resource] :  |b Theoretical Views and Gestalt-Law Applications /  |c by Eckart Michaelsen, Jochen Meidow. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XI, 195 p. 100 illus., 9 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Computer Vision and Pattern Recognition,  |x 2191-6586 
505 0 |a Introduction -- Reflection Symmetry -- Good Continuation in Rows or Frieze Symmetry -- Rotational Symmetry -- Closure - Hierarchies of Gestalten -- Search -- Illusions -- Prolongation in Good Continuation -- Parallelism and Rectangularity -- Lattice Gestalten -- Primitive Extraction -- Knowledge and Gestalt Interaction -- Learning -- Appendix A: General Adjustment Model with Constraints. 
520 |a 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. 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. 
650 0 |a Pattern recognition. 
650 0 |a Remote sensing. 
650 0 |a Architecture. 
650 0 |a Group theory. 
650 1 4 |a Pattern Recognition.  |0 http://scigraph.springernature.com/things/product-market-codes/I2203X 
650 2 4 |a Remote Sensing/Photogrammetry.  |0 http://scigraph.springernature.com/things/product-market-codes/J13010 
650 2 4 |a Architecture, general.  |0 http://scigraph.springernature.com/things/product-market-codes/K0000X 
650 2 4 |a Group Theory and Generalizations.  |0 http://scigraph.springernature.com/things/product-market-codes/M11078 
700 1 |a Meidow, Jochen.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783030040390 
776 0 8 |i Printed edition:  |z 9783030040413 
830 0 |a Advances in Computer Vision and Pattern Recognition,  |x 2191-6586 
856 4 0 |u https://doi.org/10.1007/978-3-030-04040-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)