Abstract Local Binary Pattern (LBP) is a local feature on pixel level, which encodes the
relative strength among the center pixel and the surrounding pixels. Because of its simple …

Abstract Local Binary Pattern (LBP) is a well-known appearance-based local feature
descriptor. Since it is successfully applied to many pattern recognition applications such as …

Abstract Scale is one of the major challenges in recognition problems. For example, a face
captured across large distances is considerably harder to recognize than the same face at …

The local binary pattern (LBP) is a simple effective local texture feature and widely used in
the fields of face analysis, motion analysis, image segmentation, and image & video retrieval …

Local Binary Pattern (LBP) is known as one of the most effective local descriptors for image
recognition. It is invariant to monotonic gray-scale changes of the image. Local …

Texture is one of the important properties of an image. Local Binary Pattern (LBP) is popular
descriptor to extract Local texture information from an image. The main aim of LBP is to …

Local Binary Patterns (LBP) is a non-parametric descriptor whose aim is to efficiently
summarize the local structures of images. In recent years, it has aroused increasing interest …

In view of the theoretical and practical value of local binary pattern (LBP), the various LBP
methods in texture analysis and classification, face analysis and recognition, and other …

Local descriptor plays an important role in Content-Based Image Retrieval (CBIR) and face
recognition. Almost all local patterns are based on the relationship between neighboring …

Local binary pattern (LBP) and its variants have been widely used in many recognition tasks.
Subspace approaches are often applied to the LBP feature in order to remove unreliable …