A Novel Features from Accelerated Segment Test Algorithm Based on LBP on Image Matching
Since the FAST (Features from Accelerated Segment Test) detector is much faster than any of the commonly used detection algorithms, and the repeatability and efficiency of FAST-9 are best in the FAST family, we proposed a novel LBP descriptor based on FAST-9 algorithm. Firstly, feature points are detected by FAST-9 and then, the texture information of the interesting point neighborhood is studied with the proposed Fast LBP descriptor named F-LBP, structured the 256-bit descriptor of the interesting point, which effectively reduced the computational complexity of the descriptor. Finally, the descriptor matching is carried out with the logical XNOR. The experimental results show that the proposed algorithm has got good repeatability, efficiency, the rotation invariance, the affine invariance and the illumination invariance in the process of image matching.
image matching Local features Local binary patterns (LBP) FAST (Features from Accelerated Segment Test) Feature description
Lisha Guo Junshan Li YingHong Zhu ZongQi Tang
Xian Research Inst. Of High-tech. Xian, China Xian Research Inst. Of High-tech. Xian, China Xiamen Regiment, Fujian Division of the CAPF, Xiamen
国际会议
西安
英文
880-883
2011-05-27（万方平台首次上网日期，不代表论文的发表时间）