A local feature descriptor based on Local Binary Patterns
G. P. Cheng, Jiaxing Chen · 2016
This paper presents a local feature descriptor based on Local Binary Patterns (LBP). This descriptor uses binary bit string to represent the local region of images and the integral image to mean filter that makes descriptor building faster. Compared to Scale-invariant feature transform (SIFT)that the calculation is large and the process is time consuming in the description of the characteristics, the descriptor based on LBP speeds about 1 orders of magnitude. In the matching effect for blurred image, illumination changes, and different JPEG compression ratio, the matching results are better than descriptors based on SIFT.