Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Comparison of Statistical Features for Medical Colour Image Classification Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Saliency-Guided Object Candidates Based on Gestalt Principles

Authors : Thomas Werner, Germán Martín-García, Simone Frintrop

Published in: Computer Vision Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

We present a new method for generating general object candidates for cluttered RGB-D scenes. Starting from an over-segmentation of the image, we build a graph representation and define an object candidate as a subgraph that has maximal internal similarity as well as minimal external similarity. These candidates are created by successively adding segments to a seed segment in a saliency-guided way. Finally, the resulting object candidates are ranked based on Gestalt principles. We show that the proposed algorithm clearly outperforms three other recent methods for object discovery on the challenging Kitchen dataset.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Arabic-Latin Offline Signature Recognition Based on Shape Context Descriptor
next chapter Person Re-identification Based on Multi-directional Saliency Metric Learning
Footnotes
Literature
1.
Achanta, R., Hemami, S., Estrada, F., Süsstrunk, S.: Frequency-tuned salient region detection. In: Proceedings of the CVPR (2009)
2.
Alexe, B., Deselaers, T., Ferrari, V.: Measuring the objectness of image windows. Trans. on PAMI 34(11), 2198–2202 (2012)CrossRef
3.
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. Int. J. of Comput. Vis. 88(2), 303–338 (2010)CrossRef
4.
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int J. of Comput. Vis. 59(2), 167–181 (2004)CrossRef
5.
Frintrop, S., Martín García, G., Cremers, A.B.: A cognitive approach for object discovery. In: Proceedings of ICPR (2014)
6.
Frintrop, S.: 6 sensor fusion. In: Frintrop, S. (ed.) VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search. LNCS (LNAI), vol. 3899, pp. 129–147. Springer, Heidelberg (2006) CrossRef
7.
Frintrop, S., Werner, T., Martín García, G.: Traditional saliency reloaded: a good old model in new shape. In: Proceedings of CVPR (2015)
8.
9.
Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. Trans. on PAMI 20(11), 1254–1259 (1998)CrossRef
10.
Kanizsa, G., Gerbino, W.: Convexity and Symmetry in Figure-Ground Organization. Vision and artifact, New York (1976)
11.
Karpathy, A., Miller, S.: Object discovery in 3D scenes via shape analysis. In: Proceedings of ICRA (2013)
12.
Klein, D.A., Frintrop, S.: Salient pattern detection using \(W_2\) on multivariate normal distributions. In: Proceedings of DAGM-OAGM (2012)
13.
Kootstra, G., Kragic, D.: Fast and bottom-up object detection, segmentation, and evaluation using Gestalt principles. In: Proceedings of ICRA (2011)
14.
Manén, S., Guillaumin, M.: Prime object proposals with randomized prim’s algorithm. In: Proceedings of ICCV (2013)
15.
Pashler, H.: The Psychology of Attention. MIT Press, Cambridge (1997)
16.
Richtsfeld, A., Zillich, M., Vincze, M.: Implementation of Gestalt principles for object segmentation. In: Proceedings of ICPR (2012)
17.
Wagemans, J., Elder, J.H., Kubovy, M., Palmer, S.E., Peterson, M., Singh, M., von der Heydt, R.: A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. Psychol. Bull. 138(6), 1172–1217 (2012)CrossRef
18.
Werner, T.: Saliency-driven object dicovery based on gestalt principles. Master thesis, Rheinische Friedrich-Wilhelms-Universität Bonn (2015)
Metadata
Title
Saliency-Guided Object Candidates Based on Gestalt Principles
Authors
Thomas Werner
Germán Martín-García
Simone Frintrop
Copyright Year
2015
Book
Computer Vision Systems

Print ISBN: 978-3-319-20903-6

Electronic ISBN: 978-3-319-20904-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20904-3_4

Premium Partner

    Image Credits