Paper Info
Title
On the influence of interpolation method on rotation invariance in texture recognition.
Abstract
In this paper, rotation invariance and the influence of rotation interpolation methods on texture recognition using several local binary patterns (LBP) variants are investigated. We show that the choice of interpolation method when rotating textures greatly influences the recognition capability. Lanczos 3 and B-spline interpolation are comparable to rotating the textures prior to image acquisition, whereas the recognition capability is significantly and increasingly lower for the frequently used third order cubic, linear and nearest neighbour interpolation. We also show that including generated rotations of the texture samples in the training data improves the classification accuracies. For many of the descriptors, this strategy compensates for the shortcomings of the poorer interpolation methods to such a degree that the choice of interpolation method only has a minor impact. To enable an appropriate and fair comparison, a new texture dataset is introduced which contains hardware and interpolated rotations of 25 texture classes. Two new LBP variants are also presented, combining the advantages of local ternary patterns and Fourier features for rotation invariance.
Year
DOI
Venue
2016
10.1186/s13640-016-0117-6
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Local binary patterns, Texture dataset, Filter banks
Computer vision,Local ternary patterns,Lanczos resampling,Invariant (physics),Pattern recognition,Computer science,Image texture,Local binary patterns,Interpolation,Fourier transform,Artificial intelligence,Biometrics
Journal
Volume
Issue
ISSN
2016
1
1687-5281
Citations 
PageRank 
References 
3
0.38
14
Authors
2
Name
Order
Citations
PageRank
Gustaf Kylberg1603.80
Ida-Maria Sintorn211413.85