In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework. We compare the proposed approach to standard state-of-the-a...

In this paper, we present a novel approach to multi-view gender classification considering both shape and texture information to represent facial image. The face area is divided into small regions, from which local binary pattern(LBP) histograms are extracted and concatenated into a single vector efficiently representing the facial image. The classification is performed by using support vector ...

Census data provides an important source of information with respect to decision makers operating in many different fields. However, census collection is a time consuming and resource intensive task. This is especially the case in rural areas where the communication and transportation infrastructure is not as robust as in urban areas. In this paper the authors propose the use of satellite image...

Gender is an important demographic attribute. In the context of biometrics, gender information can be used to index databases or enhance the recognition accuracy of primary biometric traits. A number of studies have demonstrated that gender can be automatically deduced from face images. However, few studies have explored the possibility of automatically estimating gender information from finger...

It is a critical problem to find the commerce quickly and accuracy. Information from different sources can improve the retrieval performance. In this paper, we proposed a combination algorithm of color descriptor, LBP texture descriptor and HOG shape descriptor for commerce image retrieval. The commerce image retrieval experiments on commerce image dataset PI 100 indicate the combination can bo...

Traditionally, iris recognition systems capture iris images in the 700 to 900nm range. It is within these ranges that researchers have found the most viable iris textures for iris recognition. Recently, there has been an interest for exploration of spectrum ranges that falls outside of these traditional ranges. In this work, we will explore the performance of feature extraction techniques on a ...

The Competitive Coding (CompCode) scheme, which extracts and codes the local dominant orientation as features, has been widely used in finger knuckle print (FKP) verification. However, CompCode may lose some valuable information such as multiple orientation and texture of the FKP image. To remedy this drawback, a novel multiple orientation and texture information integration scheme is proposed ...

This paper purposes a new method for selecting the most discriminant rotation invariant patterns in local binary patterns and local ternary patterns. Our experiments show that a selection based on variance performs better than the recently proposed method of using dominant local binary patterns (DLBP). Our method uses a random subspace of patterns with higher variance. Features are transformed ...

In this paper a real-time surface inspection method based on texture features is introduced. The proposed approach is based on the Local Binary Pattern (LBP) texture operator and the Self-Organizing Map (SOM). A very fast software implementation of the LBP operator is presented. The SOM is used as a powerful classifier and visualizer. The efficiency of the method is empirically evaluated in two...

s: October 20, 2014 Page 1 of 32 ABSTRACTS LUMBAR SPINE PELVIC GIRDLES LUMBAR SPINE PELVIC GIRDLE