Local Binary Patterns (LBP) is a non-parametric descriptor whose purpose to effectively summarize local image configurations. It has generated increasing interest in many aspects including facial analysis, vision detection, expression demographic classification, etc. recent years and proven useful various applications. This paper presents binary pattern based face recognition technology using V...

We sketch the principles of a type system for an object-oriented language such as Java which allows to statically ensure that an object structure is not modified by a method call, if the primary reference of that object structure is stored in a local variable of the method and this variable does not syntactically occur in the call. The object structure thus behaves like a “plain value”, say a m...

In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) has been proved to be effective for image representation, but it is too local to be robust. InMB-LBP, the computation is done based on average values of block subregions, instead of individual pixels. In this way, MB-LBP code p...

In many applications we need to synthesize global patterns in multiple large databases, where the applications are independent of the characteristics of local patterns. Pipelined feedback technique (PFT) seems to be the most effective technique under the approach of local pattern analysis (LPA). The goal of this paper is to analyse the effect of database grouping on multi-database mining. For t...