نتایج جستجو برای: local directional pattern

تعداد نتایج: 890284  

2015
Sahar Hooshmand Ali Jamali Avilaq Amir Hossein Rezaie

Automatic facial expression analysis is a challenging issue and influenced so many areas such as human computer interaction. Due to the uncertainties of the light intensity and light direction, the face gray shades are uneven and the expression recognition rate under simple Local Binary Pattern is not ideal and promising. In this paper we propose two stateof-the-art descriptors for person-indep...

2013
Juxiang Zhou Tianwei Xu Jianhou Gan

This paper presents a novel expression recognition method based on global and local features with decision-level fusion. We first extract Local Directional Pattern (LDP) global features of the whole face which can guarantee basic expression difference and decrease the influence of no-facial region meanwhile, then the Local Directional Pattern Variance (LDPv) descriptor is used to extract local ...

Journal: :IEEE Transactions on Signal Processing 2005

Journal: :Trans. Computational Science 2013
Abdallah A. Mohamed Marina L. Gavrilova Roman V. Yampolskiy

In this paper, a novel face recognition technique based on discrete wavelet transform and Adaptive Local Binary Pattern (ALBP) with directional statistical features is proposed. The proposed technique consists of three stages: preprocessing, feature extraction and recognition. In preprocessing and feature extraction stages, wavelet decomposition is used to enhance the common features of the sam...

2016
A. Karunakaran

Image retrieval is the important technique in image processing. The paper presents the robust object recognition using texture and directional feature extraction. The system proposes texture descriptors such as fast discrete Curvelet transform based entropy feature and local directional pattern. The category recognition is to classify an object into one of several predefined categories. The Fas...

2016
Marcos William da Silva Oliveira Núbia Rosa da Silva Antoine Manzanera Odemir Martinez Bruno Odemir Martinez

The proposal of this study is to analyze the texture pattern recognition over the local jet space looking forward to improve the texture characterization. Local jets decompose the image based on partial derivatives allowing the texture feature extraction be exploited in different levels of geometrical structures. Each local jet component evidences a different local pattern, such as, flat region...

Journal: :Computers & Operations Research 2012

Journal: :journal of chemical and petroleum engineering 2014
abdolnabi hashemi afshin ghanbarzadeh siamak hosseini

the dogleg severity is one of the most important parameters in directional drilling. improvement of these indicators actually means choosing the best conditions for the directional drilling in order to reach the target point. selection of high levels of the dogleg severity actually means minimizing well trajectory, but on the other hand, increases fatigue in drill string, increases torque and d...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید