Summary: ROTATIONAL INVARIANT UNIFORM LOCAL BINARY PATTERNS FOR FULL 3D
VOLUME TEXTURE ANALYSIS
Chair of Pattern Recognition and Image Processing
University of Freiburg, Germany
In this paper, we present a novel method for the fast compu-
tation of rotational invariant "uniform local binary patterns"
(uLBP) for texture analysis on 3D volume data.
We introduce an alternative computation method for uLBPs
in frequency space, which allows to effectively approximate
uniform patterns in 2D and 3D in order to avoid the enor-
mous computational complexity of a "naive" 3D LBP im-
"Local Binary Patterns" (LBP)  have been established as
a standard feature based method for texture analysis in 2D
images and were applied to a wide range of different ap-
plications. Various extensions to the basic LBP algorithms
have been published in recent years, including rotational in-