Paper Info
Title
Two-dimensional local ternary patterns using synchronized images for outdoor place categorization
Abstract
We present a novel approach for outdoor place categorization using synchronized texture and depth images obtained using a laser scanner. Categorizing outdoor places according to type is useful for autonomous driving or service robots, which work adaptively according to the surrounding conditions. However, place categorization is not straight forward due to the wide variety of environments and sensor performance limitations. In the present paper, we introduce a two-dimensional local ternary pattern (2D-LTP) descriptor using a pair of synchronized texture and depth images. The proposed 2D-LTP describes the local co-occurrence of a synchronized and complementary image pair with ternary patterns. In the present study, we construct histograms of a 2D-LTP as a feature of an outdoor place and apply singular value decomposition (SVD) to deal with the high dimensionality of the place. The novel descriptor, i.e., the 2D-LTP, exhibits a higher categorization performance than conventional image descriptors with outdoor place experiments.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7026158
ICIP
Keywords
Field
DocType
svd,two-dimensional local ternary pattern (2d-ltp),depth image,outdoor place categorization,image local co-occurrence,two-dimensional local ternary patterns,synchronized images,place categorization,2d-ltp histogram construction,reflectance image,depth images,synchronized texture,2d-ltp descriptor,image texture,laser scanner,singular value decomposition,synchronisation
Categorization,Histogram,Computer vision,Local ternary patterns,Singular value decomposition,Laser scanning,Pattern recognition,Computer science,Ternary operation,Curse of dimensionality,Artificial intelligence,Robot
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
18
4
Name
Order
Citations
PageRank
Hojung Jung182.51
Ryo Kurazume262274.18
Yumi Iwashita321223.59
Óscar Martínez Mozos442925.82