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Hierarchical grouping - the gestalt assessments method

: Michaelsen, Eckart; Arens, Michael

Fulltext urn:nbn:de:0011-n-4734043 (501 KByte PDF)
MD5 Fingerprint: 83327c2a938ea6f86fcf630838f94621
Created on: 14.11.2017

Ikeuchi, K. ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Conference on Computer Vision Workshops, ICCVW 2017 : 22-29 October 2017, Venice, Italy. Proceedings
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-1034-3
ISBN: 978-1-5386-1035-0
International Conference on Computer Vision (ICCV) <2017, Venice>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Real images contain reflection symmetry and repetition in rows with high probability. I.e. certain parts can be mapped on other certain parts by the usual Gestalt laws and are repeated there with high similarity. Moreover, such mapping comes in nested hierarchies – e.g. a reflection Gestalt that is made of repetition friezes, whose parts are again reflection symmetric compositions. It is our intention to develop and test methods that may automatically find, parametrize, and assess such nested hierarchies. This can be explicitly modelled by continuous assessment functions. The recognition performance is raised utilizing additional features such as colors. This paper reports examples from the 2017 data set.