Recent developments showed that the LocalBinary Pattern (LBP) method provides outstanding results in different computer vision applications. LBP is a simple and efficient operator unifying statistical and structural approaches in texture analysis. It is a powerful gray-scale invariant measure, derived from a general definition of texture in a local neighborhood. Due to its discriminative power and computational simplicity, LBP has become a highly popular approach in various computer vision applications, including facial image analysis, visual inspection, image retrieval, remote sensing, biomedical image analysis, biometrics, motion analysis, environment modelling, and outdoor scene analysis. Especially the use of LBP in biomedical applications and biometric recognition systems has grown rapidly in recent years. LBP has been highly successful in numerous applications around the world and has inspired plenty of new research on related methods. Since the introduction of the basic LBP operator, several variants and extensions have been proposed to improve the discriminative power and robustness of the operator. The recent emergence of LBP has also led to significant progress in applying texture methods to various computer vision problems and applications. Motivated by the great success of the first LBP 2012 workshop which was held in South-Korea in conjunction with ACCV 2012, this second workshop aims to provide more practical issues (through demonstrations) and discuss the most recent developments on the use of LBP and its variants in computer vision. This workshop will provide a stimulating space for researchers to hear and discuss the recent advances in the field. The participants will also benefit from direct interaction with pioneers of LBP

Call for papers

We invite authors to contribute with original articles that will stimulate the research community on the use of LBP and its variants in computer vision. Besides traditional applications (texture analysis, facial image analysis, visual inspection, image retrieval, remote sensing, biomedical image analysis, biometrics, motion analysis, environment modelling, outdoor scene analysis etc.), we are also interested in articles describing modern fields of LBP applications such as 3D range data analysis, dynamic texture analysis, image and video analysis in unconstrained environments, video synthesis, object tracking and recognition etc.

Topics

The topics of interest for this workshop include, but are not limited to:

§ Local binary patterns in various computer vision applications ( texture analysis, facial image analysis, visual inspection, image retrieval, remote sensing, biomedical image analysis, biometrics, motion analysis, environment modelling, outdoor scene analysis, 3D range data analysis, dynamic texture analysis, image and video analysis, object tracking and recognition etc.)

§ New variants of local binary patterns

§ Novel descriptors inspired by local binary patterns

§ Comparative analysis of different local binary patterns variants

§ New application areas of local binary patterns

§ Implementations of local binary patterns in embedded vision systems

§ Feature selection and learning methods for local binary patterns

§ Image and video analysis using texture descriptors