Affine alignment of occluded shapes

Zsolt Sánta, Zoltan Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A novel affine registration technique is proposed which efficiently handles the partial occlusion problem. The proposed method is working without point wise correspondences or radiometric information's. The aligning transformation is found by solving a system of non-linear equations and minimizing the area of occlusions. Each equation is generated by integrating a non-linear function over the foreground domains of the shapes. In order to deal with occlusions, the shapes are approximated by polygons and the occluded areas are determined with simple boolean operators. Based on the tests on a large synthetic dataset, the proposed approach outperforms state of the art algorithms.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2155-2160
Number of pages6
ISBN (Electronic)9781479952083
DOIs
Publication statusPublished - Dec 4 2014
Event22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: Aug 24 2014Aug 28 2014

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other22nd International Conference on Pattern Recognition, ICPR 2014
CountrySweden
CityStockholm
Period8/24/148/28/14

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Sánta, Z., & Kato, Z. (2014). Affine alignment of occluded shapes. In Proceedings - International Conference on Pattern Recognition (pp. 2155-2160). [6977087] (Proceedings - International Conference on Pattern Recognition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2014.375