Rotation-Invariant Image and Video Description With Local Binary Pattern Features

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00192658" target="_blank" >RIV/68407700:21230/12:00192658 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/TIP.2011.2175739" target="_blank" >http://dx.doi.org/10.1109/TIP.2011.2175739</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIP.2011.2175739" target="_blank" >10.1109/TIP.2011.2175739</a>

Result language

angličtina

Original language name

Rotation-Invariant Image and Video Description With Local Binary Pattern Features

Original language description

In this paper, we propose a novel approach to compute rotation-invariant features from histograms of local noninvariant patterns. We apply this approach to both static and dynamic local binary pattern (LBP) descriptors. For static-texture description, wepresent LBP histogram Fourier (LBP-HF) features, and for dynamic-texture recognition, we present two rotation-invariant descriptors computed from the LBPs from three orthogonal planes (LBP-TOP) features in the spatiotemporal domain. LBP-HF is a novel rotation-invariant image descriptor computed from discrete Fourier transforms of LBP histograms. The approach can be also generalized to embed any uniform features into this framework, and combining the supplementary information, e.g., sign and magnitude components of the LBP, together can improve the description ability. Moreover, two variants of rotation-invariant descriptors are proposed to the LBP-TOP, which is an effective descriptor for dynamic-texture recognition, as shown by its re

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GAP103%2F10%2F1585" target="_blank" >GAP103/10/1585: Advanced predictors for object detection and tracking in video</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Image Processing

ISSN

1057-7149

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1465-1477

UT code for WoS article

000302181800004

EID of the result in the Scopus database

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