Shape index SIFT: Range image recognition using local features

Date

2010-11-18

Author

Bayramog̃lu, 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.

Subject Keywords

Local description, Range image recognition, Scale invariance, Shape index

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78149482665&origin=inward
https://hdl.handle.net/11511/107495

DOI

https://doi.org/10.1109/icpr.2010.95

Conference Name

2010 20th International Conference on Pattern Recognition, ICPR 2010

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Citation Formats

N. Bayramog̃lu and A. A. Alatan, “Shape index SIFT: Range image recognition using local features,” presented at the 2010 20th International Conference on Pattern Recognition, ICPR 2010, İstanbul, Türkiye, 2010, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78149482665&origin=inward.