Range image recognition using invariant local features Derinlik görüntülerinin deǧişimsiz yerel öznitelikler kullanilarak taninmasi

Date

2010-12-01

Author

Bayramoǧlu, Neslihan
Alatan, Abdullah Aydın

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Range image recognition gains importance in the recent years due to the developments in acquiring, displaying, and storing such data. In this paper, we present a novel method for matching range surfaces. Our method utilizes local surface properties and represents the geometry of local regions efficiently. Integrating the Scale Invariant Feature Transform (SIFT) with the shape index (SI) representation of the range images allows matching of surfaces with different scales and orientations. We apply the method for scaled, rotated, and occluded range images and demonstrate the effectiveness it by comparing the previous studies. ©2010 IEEE.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651465184&origin=inward
https://hdl.handle.net/11511/106806

DOI

https://doi.org/10.1109/siu.2010.5651360

Conference Name

18th IEEE Signal Processing and Communications Applications Conference, SIU 2010

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Citation Formats

N. Bayramoǧlu and A. A. Alatan, “Range image recognition using invariant local features Derinlik görüntülerinin deǧişimsiz yerel öznitelikler kullanilarak taninmasi,” presented at the 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, Diyarbakır, Türkiye, 2010, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651465184&origin=inward.