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3D Rotation Invariant Local Binary Patterns J. Fehr and H. Burkhardt
 

Summary: 3D Rotation Invariant Local Binary Patterns
J. Fehr and H. Burkhardt
Chair of Pattern Recognition and Image Processing
University of Freiburg, Germany
fehr@informatik.uni-freiburg.de
Abstract
We present a novel method for the fast computation of
rotation invariant "local binary patterns" (LBP) on 3D
volume data.
Unlike a previous publication on 3D LBP, this new ap-
proach is not limited to "uniform patterns", providing
a real 3D extension of the standard and rotation invari-
ant LBP. We evaluate our methods in the context of 3D
texture analysis of biological data.
1 Introduction
"Local Binary Patterns" (LBP) [7] have been estab-
lished as a standard feature based method for 2D image
analysis. LBP have been successfully applied to a wide
range of different applications from texture analysis [7]
to face recognition [8]. Various extensions to the basic

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences