Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2012.6466915
Title: Improved spin images for 3D surface matching using signed angles
Authors: Zhang, Z.
Ong, S.H.
Foong, K. 
Keywords: 3D descriptor
spin images
Surface matching
Issue Date: 2012
Source: Zhang, Z.,Ong, S.H.,Foong, K. (2012). Improved spin images for 3D surface matching using signed angles. Proceedings - International Conference on Image Processing, ICIP : 537-540. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2012.6466915
Abstract: Despite the popularity of spin images in surface matching and registration, disadvantages such as noise sensitivity and low discriminative ability still hindered their usefulness in real applications. In this paper, a novel approach was proposed for improving the spin images. The proposed method modified the standard spin images by using angle information between the normals of reference point and neighboring points. This information largely increased the robustness to noise without losing the intrinsic advantages of spin images. Moreover, signs were defined to incorporate the directions of angles which were shown to be able to further improve the descriptive power. Experiments were also conducted to show the outperformance of improved spin images under different levels of noise, and good agreements were obtained by comparing with the standard spin images and a recent popular 3D descriptor. © 2012 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/47168
ISBN: 9781467325332
ISSN: 15224880
DOI: 10.1109/ICIP.2012.6466915
Appears in Collections:Staff Publications

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