東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Hierarchical perceptual grouping for...

Michaelsen, Eckart.

FindBook

Google Book

Amazon

博客來

Hierarchical perceptual grouping for object recognition = theoretical views and gestalt-law applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hierarchical perceptual grouping for object recognition/ by Eckart Michaelsen, Jochen Meidow.
其他題名:	theoretical views and gestalt-law applications /
作者:	Michaelsen, Eckart.
其他作者:	Meidow, Jochen.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 195 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Pattern recognition systems. -
電子資源:	https://doi.org/10.1007/978-3-030-04040-6
ISBN:	9783030040406

Hierarchical perceptual grouping for object recognition = theoretical views and gestalt-law applications /
Michaelsen, Eckart.

Hierarchical perceptual grouping for object recognitiontheoretical views and gestalt-law applications /[electronic resource] :by Eckart Michaelsen, Jochen Meidow. - Cham :Springer International Publishing :2019. - xi, 195 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

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.

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.

ISBN: 9783030040406

Standard No.: 10.1007/978-3-030-04040-6doiSubjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Hierarchical perceptual grouping for object recognition = theoretical views and gestalt-law applications /
LDR:03205nmm a2200337 a 4500 001 2178299
003 DE-He213
005 20190101135838.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030040406 $q (electronic bk.)
020 $a 9783030040390 $q (paper)
024 7 $a 10.1007/978-3-030-04040-6 $2 doi
035 $a 978-3-030-04040-6
040 $a GP $c GP
041 0 $a eng
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
090 $a TK7882.P3 $b M621 2019
100 1 $a Michaelsen, Eckart. $3 3382309
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 195 p. : $b ill., digital ; $c 24 cm.
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 systems. $3 527885
650 1 4 $a Pattern Recognition. $3 891045
650 2 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Architecture, general. $3 890942
650 2 4 $a Group Theory and Generalizations. $3 893889
700 1 $a Meidow, Jochen. $3 3382310
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 1567575
856 4 0 $u https://doi.org/10.1007/978-3-030-04040-6
950 $a Computer Science (Springer-11645)