Object matching in the presence of non-rigid deformations close to similarities

E. Balmachnova, B. Platel, L.M.J. Florack, B.M. Haar Romenij, ter

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)


In this paper we address the problem of object retrieval based on scale-space interest points, namely top-points. The original retrieval algorithm can only cope with scale-Euclidean transformations. We extend the algorithm to the case of non-rigid transformations like affine and perspective transformations and investigate its robustness. The proposed algorithm is proven to be highly robust under various degrading factors, such as noise, occlusion, rendering artifacts, etc. and can deal with multiple occurrences of the object.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Computer Vision (ICCV 2007) 14-21 October 2007, Rio de Janeiro, Brazil
EditorsW. Niessen, C.F. Westin, M. Nielsen
Place of PublicationPiscataway, New Jersey, USA
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-1631-8
Publication statusPublished - 2007
Eventconference; ICCV 2007, Rio de Janeiro, Brazil; 2007-10-14; 2007-10-21 -
Duration: 14 Oct 200721 Oct 2007


Conferenceconference; ICCV 2007, Rio de Janeiro, Brazil; 2007-10-14; 2007-10-21
OtherICCV 2007, Rio de Janeiro, Brazil

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