Abstract
A separate operation is constructed for the aggregation of lattices of Gestalten. The lattice operation aggregates comparably many Gestalten in one step into the construction at much larger scale. This requires also search strategies that differ from the ones presented for friezes or rotational mandalas. As an example the perceptual grouping of permanent sactterers in synthetic aperture radar images is presented. Like in some other chapters of this book, the last section treats the operation under projective distortions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mitra NJ, Pauly M, Wand M, Ceylan D (2013) Symmetry in 3D geometry: extraction and applications. Comput Graph Forum 32(6):1–23
Liu J, Slota G, Zheng G, Wu Z, Park M, Lee S, Rauschert I, Liu Y (2013) Symmetry detection from realworld images competition 2013: summary and results. In: CVPR 2013, workshops
Korč F, Förstner W (2009) eTRIMS image database for interpreting images of man-made scenes. Technical report TR-IGG-P-2009-01, Department of Photogrammetry, University of Bonn. http://www.ipb.uni-bonn.de/projects/etrims_db/. Accessed Aug 2018
Wenzel S (2016) High-level facade image interpretation using marked point processes. PhD thesis, Department of Photogrammetry, University of Bonn
Tyleček R (2016) Probabilistic models for symmetric object detection in images. PhD thesis, Czech Technical University in Prague
Schack L, Soergel U (2014) Exploiting regular patterns to group persistent scatterers in urban areas. IEEE-JSTARS 7(1):4177–4183
Desolneux A, Moisan L, Morel J-M (2008) From gestalt theory to image analysis: a probabilistic approach. Springer
Pizlo Z, Li Y, Sawada T, Steinman RM (2014) Making a machine that sees like us. Oxford University Press
Leyton M (2014) Symmetry, causality, mind. MIT Press, Cambrige, Ma
Sörgel U (ed) (1990) Radar remote sensing of urban areas. Springer
Funk C, Lee S, Oswald MR, Tsokas S, Shen W, Cohen A, Dickinson S, Liu Y (2017) ICCV challenge: detecting symmetry in the wild. In: ICCV 2017, workshops
Hebel M (2018) Shiftn – automatic correction of converging lines. http://www.shiftn.de/. Accessed Aug 2018
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Michaelsen, E., Meidow, J. (2019). Lattice Gestalten. In: Hierarchical Perceptual Grouping for Object Recognition. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-04040-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-04040-6_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04039-0
Online ISBN: 978-3-030-04040-6
eBook Packages: Computer ScienceComputer Science (R0)